how long is a chemistry dissertation

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• DISSERTATION

The preparation of a satisfactory dissertation normally requires at least four years of full-time research. All students are expected to provide a public presentation of their Ph.D. research as part of their program requirements. The final manuscript must conform to the requirements described in Dissertations . The dissertation defense includes:

• A public presentation of the student's Ph.D research to which members of the CCB community will be invited, followed by
• The private Ph.D. dissertation defense before the Ph.D. Thesis Committee.

Students must submit the dissertation to the Ph.D. Thesis Committee at least 7 days before the defense date. The final manuscript must conform to the requirements described online on the GSAS website  here .

Once the date, time, and location of the dissertation defense has been scheduled by the student with the Committee Members, the student must notify Kathy Oakley in the Department Office, who will send an email announcement to CCB faculty, graduate students, and postdocs inviting them to the public presentation. The  CCB Doctoral Dissertation Form  must be submitted 1-2 weeks prior to the defense to  Kathy Oakley  in the Department office, M-132.  Please note that the doctoral dissertation form also has a new section on scheduling an exit interview with Dr. Josh Cox before or after your defense. The purpose of the exit interview is for you to tell Josh what has and has not worked for you during your time in CCB. Please contact Josh with any questions about the exit interview, and contact Kathy with questions about the dissertation form. 

GSAS Thesis Requirements

All PhD candidates are required to submit a copy of the dissertation via the ETDs @ Harvard submission tool  by the deadline established for each degree conferral date. (See the  GSAS Degree Calendar  page for more information on deadlines.) Dissertations must be submitted electronically to ETDs following their guidelines, including the requirement of embedded fonts. Note that GSAS rules supersede those of ETDs for format.

Program Completion Date

For international students on an F-1 visa, the F-1 visa will end on the program completion date. The program completion date is not necessarily the defense date. It is the date the student stops working in the lab, and any salary/stipend would be ended on that date. International graduate students on an F-1 visa may continue working in the lab as students after their defense until the dissertation submission deadline, if the PI agrees to pay them and they are still completing graduate research in their lab.  International students should wait until the week of their program completion date before submitting their dissertation, while being careful to meet all GSAS deadlines. U.S. citizens may continue working in in the lab as students after their defense until the end of the term, if the PI agrees to pay them and they are still completing graduate research in their lab.

Dissertation Embargo Requests

If necessary, students may request to delay the release of (“embargo”) their work when submitting their dissertation to  ETDs @ Harvard . Embargo requests greater than two years must be approved by the Department. For embargoes over two years, students must first get the approval of their advisor. Written approval from their advisor and a strong written academic reason for the embargo must be forwarded to the Co-Director of Graduate Studies,  Joe Lavin , for departmental approval. Students should not begin the process until they have permission of their advisor.

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Thesis Preparation

The following information is provided to assist Chemistry graduate students as they prepare their theses. If graduate students have any questions that are not answered by this guide, they should email the Chemistry Education Office (questions about department policies) or MIT Libraries (for questions about thesis formatting, etc.)

Degree candidates must fill out the Degree Application via WebSIS at the start of the term. Important dates and deadlines (including late fees) for the upcoming academic year are listed below.  It is strongly advised that degree candidates apply for the degree list even if there is uncertainty about completing the thesis defense and submission by the  deadline, as there are no penalties for being removed from the degree list.

Students must successfully complete the thesis defense before submitting their final, signed thesis.

**Please note that the Specifications for Thesis Preparation were updated in November 2022. Please make sure you use these new guidelines.**

Important Dates & Deadlines

May 2024 degree list.

• Degree Application Deadline: February 9, 2024 ($50 late fee if submitted after this date, $85 late fee if submitted after April 12, 2024)
• Thesis Title Deadline: April 12, 2024 ($85 late fee if submitted after this date. If your thesis title is not finalized by this date, please enter your current working title and the final title can be updated later)
• Thesis Submission Deadline: May 10, 2024
• Last day of work in the lab: on or before May 29, 2024. If you plan to end your RA appointment earlier than May 29, 2024, please contact Jennifer to review your timeline.
• Your degree will officially be conferred by MIT on May 30, 2024
• Information about the MIT Health Plan and graduation will be available online here.

September 2024 Degree List

• Degree Application Deadline: June 14, 2024 ($50 late fee if submitted after this date, $85 late fee if submitted after July 21, 2024)
• Thesis Title Deadline:July 19, 2024 ($85 late fee if submitted after this date. If your thesis title is not finalized by this date, please enter your current working title and the final title can be updated later)
• Thesis Submission Deadline: August 16, 2024
• Last day of work in the lab: on or before August 31, 2024. If you plan to end your RA appointment earlier than August 31st, please contact Jennifer to review your timeline.
• Your degree will officially be conferred by MIT on September 18, 2024

February 2025 Degree List

• Degree Application Deadline: September 6, 2024 ($50 late fee if submitted after this date, $85 late fee if submitted after December 13, 2024)
• Thesis Title Deadline: December 13, 2024 ($85 late fee if submitted after this date. If your thesis title is not finalized by this date, please enter your current working title and the final title can be updated later)
• Thesis Submission Deadline: January 17, 2025
• Last day of work in the lab: on or before January 15, 2025. If you plan to end your RA appointment earlier than January 15th, please contact Jennifer to review your timeline.
• Your degree will officially be conferred by MIT on February 19, 2025

May 2025 Degree List

• Degree Application Deadline:February 7, 2025 ($50 late fee if submitted after this date, $85 late fee if submitted after April 11, 2025)
• Thesis Title Deadline: April 11, 2025 ($85 late fee if submitted after this date. If your thesis title is not finalized by this date, please enter your current working title and the final title can be updated later)
• Thesis Submission Deadline: May 9, 2025
• Last day of work in the lab: on or before May 28, 2025. If you plan to end your RA appointment earlier than May 28th, please contact Jennifer to review your timeline.
• Your degree will officially be conferred by MIT on May 29, 2025

Scheduling your Thesis Defense

All PhD candidates must have a Thesis Defense. As soon as your defense is finalized, please email the Chemistry Education Office with the date, time, location, and thesis title . Thesis defenses are strongly encouraged to be in-person.  If there are questions or concerns about an in-person defense, please reach out to Jennifer Weisman. When thesis defenses are on campus, we recommend reserving a room once the defense date is finalized, student can reserve department rooms through the online scheduling system or request a classroom via this form .

Degree candidates should provide their advisor with a copy of the thesis at least two weeks before the defense and provide their thesis committee chair and member with a copy at least one week before the defense. However, degree candidates should talk with their advisor, committee chair, and committee member to find out if they need the thesis further in advance or if there are preferred formats. Degree candidates should allow time in between their thesis defense and the submission deadline to make edits and submit the final copies.

Please note that most receiving a PhD degree are required to present a seminar as part of the thesis defense. This seminar is open to the department. The degree candidate is responsible for providing the Chemistry Education Office with information about their thesis defense at least two weeks ahead of time. Following the seminar, the candidate will meet privately with the thesis committee.

Thesis Formatting

The Institute has very specific requirements for thesis preparation, which were updated in November 2022. Specifications for Thesis Preparation is available on the library’s website and should be read very carefully. The MIT Thesis FAQ may answer additional questions and a helpful checklist is also provided. The specifications also include information about copyright and use of previously published material in a thesis . Do  not  rely on any templates or prior theses from your research group – they may not reflect the most current guidelines. We have highlighted some especially important points below.

Font & Spacing

Title page & committee signature page.

• The title page of the first copy will be digitally signed by the author, advisor, and Professor Adam Willard. The title page should contain the title, name of the author, previous degrees, the degree(s) to be awarded at MIT, the date the degree(s) will be conferred (May, September, or February only), copyright notice, and appropriate names and signatures. Degrees are awarded in Chemistry, regardless of your specific research area. Regardless of when you defend or submit your thesis, the date of degree conferral must be May/June, September, or February.
• As noted above, the title page will be signed by you, your advisor, and Professor Willard. You do not need to have Professor Willard digitally sign the thesis before you submit it, we will arrange to have him sign it. If your advisor has a title (ex., Firmenich Professor of Chemistry) it should also be included under their name. If you are not sure if they have a title, you can consult the Faculty Directory . Professor Willard should have the following listed under his name, on two separate lines: Professor of Chemistry; Graduate Officer
• Each student should place the appropriate copyright notice on the thesis title page. Copyright notice consists of four elements: the symbol “c” with a circle around it © and/or the word “copyright”; the year of publication (the year in which the degree is to be awarded); the name of the copyright owner; the words “All rights reserved” or your chosen Creative Commons license. All theses should have the following legend statement exactly: The author hereby grants to MIT a nonexclusive, worldwide, irrevocable, royalty-free license to exercise any and all rights under copyright, including to reproduce, preserve, distribute and publicly display copies of the thesis, or release the thesis under an open-access license. Please carefully review the copyright information to determine the appropriate copyright ownership.
• The date under Signature of Author should be the date the final thesis is signed and submitted to the department.
• The title page is always considered to be page 1, and every page must be included in the count regardless of whether a number would be physically printed on a page. We recommend that you do not include the page number on the title page.
• There is also a signature page that will be digitally signed by your entire thesis committee. Your advisor will digitally sign your thesis twice, on the title page and signature page. The signature page is right after the title page.
• More details about digital signatures are provided below.

Table of Contents

Final thesis submission, general submission process.

Please carefully review the details below, including the file naming format . There are two steps to the final submissions process:

1. Submit the following documents to the Department of Chemistry:

• An electronic copy of your thesis in PDF/A-1 format (with no signatures)
• A PDF of the digitally signed title page and committee signature page (using DocuSign to obtain signatures)

Please send an email to your advisor, Jennifer Weisman, and William McCoy, which includes the 2 PDFs above and the following text:

“Dear Professor/Dr X: Attached is the final version of my thesis. Please use reply-all to this message to indicate your acceptance of my thesis document and your recommendation for certification by my department.”

**Note: if your thesis document is too large to send via email, your email can include a link to access the document via Dropbox, Google Drive, etc.**

2. Submit your thesis information to MIT Libraries here . Choose to opt-in or opt-out of ProQuest license and publication.  Include the same copyright and license information that is on your thesis title page. Note: this does not involve submitting your actual thesis.

Details for Thesis Submission Process

• After the defense, the student and thesis committee reach agreement on the final thesis document.
• Students should follow the format specifications as stated in the Specifications for Thesis Preparation . Do not print or physically sign pages.
• Students will have the thesis signed electronically through DocuSign. This process is described in detail in the section below.
• The title page is always considered to be page 1, and every page must be included in the count regardless of whether a number is physically printed on a page. The entire thesis (including title page, prefatory material, illustrations, and all text and appendices) must be paginated in one consecutive numbering sequence. Your committee signature page should be page 2. Please see the  Sample Title Page and committee signature page for reference.
• You will still include the title page and committee signature page in the full thesis PDF, they just won’t have any signatures.
• The digitally signed title page and committee signature pages should be in one PDF, separate from the thesis document. This avoids a DocuSign tag at the top of each page of the full thesis. Please use the following naming convention: authorLastName-kerb-degree-dept-year-sig.pdf (ex., montgomery-mssimon-phd-chemistry-2021-sig.pdf).
• Students should save their final thesis document as a PDF using the following file naming convention: authorLastName-kerb-degree-dept-year-thesis .pdf (ex., montgomery-mssimon-phd-chemistry-2021-thesis.pdf).
• Students should not deposit the PDF of their thesis via the Libraries Library’s voluntary submission portal.
• Please send an email to your advisor, Jennifer, and William which includes the final thesis document and file with the digitally signed title/committee signature pages with the following text:

Please also complete the MIT Doctoral Student Exit Survey and your Laboratory Safety Clearance Form .

Digital Signatures

Please see here for a full guide (with screenshots) to using DocuSign to obtain digital signatures

Required Signatures:

These should be everyone’s uploaded digital signatures in their own handwriting, not one of the pre-formatted signatures created by DocuSign.

• Your signature on the thesis title page
• Your advisor’s signature on both the title page and committee signature page
• Your thesis committee chair’s and member’s signatures on the committee signature page
• You do not need to have Adam Willard sign your title page, the Chemistry Education Office will take care of that
• Full thesis with no signatures (including unsigned title page and thesis committee signature page)
• Title page and committee signature page with signatures via DocuSign

Accessing DocuSign

Thesis Hold Requests

Details about requesting a thesis hold are available here and the requests are made to different offices based on the type of request.

Written notification of patent holds and other restrictions must reach the Institute Archives before the thesis in question is received, as under normal circumstances, all theses are open and available for public inspection once they have been received by the Institute Archives.

Graduate Student Exit Interviews

In order to best serve the educational, scientific, and social needs of graduate students in the Chemistry Department, it is critically important that Departmental leadership be appropriately informed of issues of importance to graduate students, ideally on an ongoing basis. Graduate student exit interviews provide information that alert the Department to acute issues that affect graduate students and provide data for longitudinal assessments of graduate student experience within the program.Graduate exit interviews are administered to all graduate students departing the Chemistry Department. The exit interview applies equally to graduate students departing with completed degrees (Ph.D. and M.S.) and without degrees.

• Graduating students will be sent a list of interview questions by the Chemistry Education Office when the student joins the degree list. Instructions about scheduling a time for the in-person or virtual discussion will be included with other informational correspondence from the Chemistry Education Office regarding degree completion. Graduating students will perform their exit interview after the thesis defense so as to avoid making the interview an additional burden.
• For students departing the program without a degree, the interview questions and instructions for scheduling an in-person discussion will be sent by the Chemistry Education Office at the point in time that a date for termination of their appointment in Chemistry is determined.
• For the majority of departing students, this interview coincides with the end of the semester, but a rolling schedule of surveys is anticipated.

Postdoctoral/Research Specialist Appointments

If you plan to transition to a postdoctoral/research specialist appointment within the Department of Chemistry at MIT, please contact Jennifer Weisman and  Chemistry HR as soon as possible. Your final signed thesis must be submitted before a postdoc appointment can start. If you are an international student, it is extremely important that you start this process early to allow sufficient timing for visa processing. In addition to talking with Jennifer and HR, please consult with the International Students Office .

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A guide to writing up your chemical science thesis

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This guide aims to give you guidance on how to write your thesis so that your research is showcased at its best. It includes suggestions on how to prepare for writing up and things to consider during the final stages. 

• Higher-order thinking and metacognition
• Investigation
• Manipulating data
• Working independently
• Communication skills

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Frequently asked questions

How long does it take to write a dissertation.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarise yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

• Harvard referencing , the most commonly used style in UK universities.
• MHRA , used in humanities subjects.
• APA , used in the social sciences.
• Vancouver , used in biomedicine.
• OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

• (Smith, 2019a)
• (Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

• Highlight all the entries
• Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
• In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
• Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

• A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
• A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract   in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

• Apply heading styles throughout the document.
• In the references section in the ribbon, locate the Table of Contents group.
• Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
• Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

• In the company of
• In the middle of
• Surrounded by

Some synonyms and near synonyms of between  include:

• In the space separating
• In the time separating

In spite of   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

• Make certain

Some synonyms and near synonyms of assure  include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

• Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
• Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
• Avoid accidental plagiarism with our reliable Plagiarism Checker .
• Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

• Write the summary entirely in your own words by   paraphrasing the author’s ideas.
• Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use   plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a   plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

• Copying and pasting a Wikipedia article into the body of an assignment
• Quoting a source without including a citation
• Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
• Forgetting to cite the source of an idea

The most surefire way to   avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an   in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organise your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organisation to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

• Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions. 
• Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
• Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
• Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

• A testable hypothesis
• One or more independent variables that you will manipulate
• One or more dependent variables that you will measure

When designing the experiment, first decide:

• How your variable(s) will be manipulated
• How you will control for any potential confounding or lurking variables
• How many subjects you will include
• How you will assign treatments to your subjects

There are four main types of triangulation :

• Data triangulation : Using data from different times, spaces, and people
• Investigator triangulation : Involving multiple researchers in collecting or analysing data
• Theory triangulation : Using varying theoretical perspectives in your research
• Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

• Reduce bias that comes from using a single method, theory, or investigator
• Enhance validity by approaching the same topic with different tools
• Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

• It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
• Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

• Only requires small samples
• Statistically powerful
• Removes the effects of individual differences on the outcomes

Disadvantages:

• Internal validity threats reduce the likelihood of establishing a direct relationship between variables
• Time-related effects, such as growth, can influence the outcomes
• Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

• Prevents carryover effects of learning and fatigue.
• Shorter study duration.
• Needs larger samples for high power.
• Uses more resources to recruit participants, administer sessions, cover costs, etc.
• Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

• In single-stage sampling , you collect data from every unit within the selected clusters.
• In double-stage sampling , you select a random sample of units from within the clusters.
• In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

• Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
• Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
• Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

• Convergent validity : The extent to which your measure corresponds to measures of related constructs
• Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

• Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
• Statistical generalisation: You use specific numbers about samples to make statements about populations.
• Causal reasoning: You make cause-and-effect links between different things.
• Sign reasoning: You make a conclusion about a correlational relationship between different things.
• Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

• Response variables (they respond to a change in another variable)
• Outcome variables (they represent the outcome you want to measure)
• Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

• Explanatory variables (they explain an event or outcome)
• Predictor variables (they can be used to predict the value of a dependent variable)
• Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

• If you have quantitative variables , use a scatterplot or a line graph.
• If your response variable is categorical, use a scatterplot or a line graph.
• If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

• An explanatory variable is the expected cause, and it explains the results.
• A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

• Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
• Experimenter effects : Unintentional actions by researchers that influence study outcomes
• Situational variables : Eenvironmental variables that alter participants’ behaviours
• Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

• The type of cola – diet or regular – is the independent variable .
• The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

• Discrete variables represent counts (e.g., the number of objects in a collection).
• Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

• The  independent variable  is the amount of nutrients added to the crop field.
• The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

• It’s caused by the independent variable
• It influences the dependent variable
• When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

• You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
• You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

• You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
• You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
• Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

• You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
• Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

• You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
• Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
• You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
• Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

• Structured interviews : The questions are predetermined in both topic and order.
• Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
• Unstructured interviews : None of the questions are predetermined.
• Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

• Open-ended and flexible
• Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
• Unambiguous, getting straight to the point while still stimulating discussion
• Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

• In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
• In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

• A positive correlation means that both variables change in the same direction.
• A negative correlation means that the variables change in opposite directions.
• A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

• A control group that receives a standard treatment, a fake treatment, or no treatment
• Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

• Use masking (blinding) to hide the purpose of your study from all observers.
• Triangulate your data with different data collection methods or sources.
• Use multiple observers and ensure inter-rater reliability.
• Train your observers to make sure data is consistently recorded between them.
• Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

• In a single-blind study , only the participants are blinded.
• In a double-blind study , both participants and experimenters are blinded.
• In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

• First, the author submits the manuscript to the editor.
• Reject the manuscript and send it back to author, or
• Send it onward to the selected peer reviewer(s)
• Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
• Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

• Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
• Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

• If there is no sampling frame available (e.g., people with a rare disease)
• If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
• If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones. 

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

• Reproducing research entails reanalysing the existing data in the same manner.
• Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
• A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
• A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

• Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

• Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
• Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

• Construct validity : Does the test measure the construct it was designed to measure?
• Face validity : Does the test appear to be suitable for its objectives ?
• Content validity : Does the test cover all relevant parts of the construct it aims to measure.
• Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

• Budget constraints or any specifics of grant funding
• Your proposed timeline and duration
• Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
• Any inclusion and exclusion criteria
• Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

• Reformulating the sentence (e.g., change active to passive , or start from a different point)
• Combining information from multiple sentences into one
• Leaving out information from the original that isn’t relevant to your point
• Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

• Paraphrasing is plagiarism if you don’t properly credit the original author.
• Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
• Paraphrasing  is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

• Changing the phrasing would distort the meaning of the original text
• You want to discuss the author’s language choices (e.g., in literary analysis )
• You’re presenting a precise definition
• You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA  recommends retaining the citations as part of the quote:

• Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test  and follow these guidelines:

• The information should be up to date and current.
• The author and publication should be a trusted authority on the subject you are researching.
• The sources the author cited should be easy to find, clear, and unbiased.
• For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

• Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
• Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
• Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

• To analyse the author’s language (e.g., in a literary analysis essay )
• To give evidence from primary sources
• To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

• Your instructor requires one, or
• Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

• To help potential readers determine the relevance of your paper for their own research.
• To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

• The abstract should focus on your original research, not on the work of others.
• The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

• Common nouns and proper nouns
• Countable and uncountable nouns
• Concrete and abstract nouns
• Collective nouns
• Possessive nouns
• Attributive nouns
• Appositive nouns
• Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

• In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
• In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

• Deception: Hide the purpose of the study from participants
• Between-groups design : Give each participant only one independent variable treatment
• Double-blind design : Conceal the assignment of groups from participants and yourself
• Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

• Provide compensation (e.g., cash or gift cards) for attending every session
• Minimise the number of follow-ups as much as possible
• Make all follow-ups brief, flexible, and convenient for participants
• Send participants routine reminders to schedule follow-ups
• Recruit more participants than you need for your sample (oversample)
• Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

• Attributive adjectives
• Predicative adjectives
• Comparative adjectives
• Superlative adjectives
• Coordinate adjectives
• Appositive adjectives
• Compound adjectives
• Participial adjectives
• Proper adjectives
• Denominal adjectives
• Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

• Julie is better than Jesse.
• I’d rather spend my time with you than with him.
• I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to do laundry once a week.
• They used to do each other’s hair.
• We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of  every time include:

• Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time   (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

• Regular verbs
• Irregular verbs
• Transitive verbs
• Intransitive verbs
• Dynamic verbs
• Stative verbs
• Linking verbs
• Auxiliary verbs
• Modal verbs
• Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

• A is used for words that begin with a consonant sound (e.g., a bear).
• An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

• Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
• Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
• Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

• ‘The cat ate its food’.
• ‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

• Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
• Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to be the new coworker.
• There used to be 4 cookies left.
• We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

• Conveying the emotional state of the characters or the narrator
• Creating an atmosphere or set the mood of a scene
• Foreshadowing events to come
• Giving texture and vividness to a piece of writing
• Communicating emotion to the reader in a subtle way, by describing the external world.
• Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

• At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
• At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

• Nominal : the data can only be categorised.
• Ordinal : the data can be categorised and ranked.
• Interval : the data can be categorised and ranked, and evenly spaced.
• Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

• I am looking forward in hearing from you.
• I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

• Eagerly awaiting your response
• Hoping to hear from you soon
• It would be great to hear back from you
• Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

• I’m looking forward to hear from you soon.
• I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in   is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”. 

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”. 

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb   compose   (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

• Be composed of
• Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

• Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
• Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
• The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
• The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of  less relevant information e.g., pertaining to a single case, or a small number of cases
• The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

• A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
• A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

• Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
• Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

• When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
• If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

• Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
• Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
• Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

• Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
• Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

• In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
• In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
• As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

• The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
• The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

• Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
• Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself.  For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

• Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
• Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

• The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
• The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

• Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
• Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
• Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

• In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
• In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

• By presenting only two options as if these were the only ones available
• By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

• Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
• Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

• A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
• Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

• Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
• Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
• Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

• An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
• An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

• When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship. 
• Ask if the claim is based merely on the chronological order or co-occurrence of the two events. 
• Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include: 

• Believing that wearing your lucky jersey will help your team win 
• Thinking that everytime you wash your car, it rains
• Claiming that playing video games causes violent behavior 

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

• The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
• Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and   red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

• Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
• Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to  many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

• Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
• Authority: It’s just a language model and is not considered a trustworthy source of factual information.
• Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT  stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

• Gives the tool a role to explain what type of answer you expect from it
• Is precisely formulated and gives enough context
• Is free from bias
• Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

• Follow this link to the ChatGPT website.
• Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
• Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

• Reproducing biases and false information
• Using ChatGPT to cheat in academic contexts
• Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

• Following your institution’s guidelines
• Critically evaluating outputs
• Being transparent about how you used the tool

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Our APA experts default to APA 7 for editing and formatting. For the Citation Editing Service you are able to choose between APA 6 and 7.

Yes, if your document is longer than 20,000 words, you will get a sample of approximately 2,000 words. This sample edit gives you a first impression of the editor’s editing style and a chance to ask questions and give feedback.

How does the sample edit work?

You will receive the sample edit within 24 hours after placing your order. You then have 24 hours to let us know if you’re happy with the sample or if there’s something you would like the editor to do differently.

Read more about how the sample edit works

Yes, you can upload your document in sections.

We try our best to ensure that the same editor checks all the different sections of your document. When you upload a new file, our system recognizes you as a returning customer, and we immediately contact the editor who helped you before.

However, we cannot guarantee that the same editor will be available. Your chances are higher if

• You send us your text as soon as possible and
• You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the  Scribbr Improvement Model  and will deliver high-quality work.

Yes, our editors also work during the weekends and holidays.

Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

If you choose a 72 hour deadline and upload your document on a Thursday evening, you’ll have your thesis back by Sunday evening!

Yes! Our editors are all native speakers, and they have lots of experience editing texts written by ESL students. They will make sure your grammar is perfect and point out any sentences that are difficult to understand. They’ll also notice your most common mistakes, and give you personal feedback to improve your writing in English.

Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

You might be familiar with a different set of editing terms. To help you understand what you can expect at Scribbr, we created this table:

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

After your document has been edited, you will receive an email with a link to download the document.

The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

• You can learn a lot by looking at the mistakes you made.
• The editors don’t only change the text – they also place comments when sentences or sometimes even entire paragraphs are unclear. You should read through these comments and take into account your editor’s tips and suggestions.
• With a final read-through, you can make sure you’re 100% happy with your text before you submit!

You choose the turnaround time when ordering. We can return your dissertation within 24 hours , 3 days or 1 week . These timescales include weekends and holidays. As soon as you’ve paid, the deadline is set, and we guarantee to meet it! We’ll notify you by text and email when your editor has completed the job.

Very large orders might not be possible to complete in 24 hours. On average, our editors can complete around 13,000 words in a day while maintaining our high quality standards. If your order is longer than this and urgent, contact us to discuss possibilities.

Always leave yourself enough time to check through the document and accept the changes before your submission deadline.

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If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.

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Guidelines for writing a senior thesis.

Except as noted below, each thesis should be about 20-25 pages in length (12 pt font, double-spaced except for abstract which may be single-spaced) and written in the style of an article to be published in a journal in the area of the research. Students should, of course, consult with their research directors about the structure of their theses; however, a suggested outline which may be used as a default follows. [Comments in brackets apply to research publications in primary literature and are generally based on material in  The ACS Style Guide .]

Title; names of student and research director; date.

[The title should be brief, grammatically correct, and accurate enough to stand alone. The purposes of the title are to attract the potential audience and to aid retrieval and indexing services. The latter is facilitated by using several keywords in the title. In a journal publication, the title is followed by the names of the authors, the address of the institution where the work was conducted, and the date on which the paper was received by the journal editor. The names of the authors are each listed in the order: first, middle initial, and surname; and include all who made substantial contributions to the research. An asterisk is placed on the name of the author to whom correspondence should be addressed.]

One-half to one page (single-spaced); a succinct summary of objectives, methods, results and conclusions.

[The purposes of the abstract are (1) to allow the reader to determine the nature and information given in the paper and (2) to allow editors to pinpoint key features for use in indexing and retrieval. State briefly the problem or purpose of the research if it is not adequately conveyed by the title. Indicate theoretical or experimental plan used, accurately summarize the principal findings, and point out major conclusions.]

Statement of objectives and significance and a review of pertinent literature, carefully cited. This section should generally be more detailed than allowed for a journal article.

[The introduction should contain a clear statement of the problem and why you are studying it. Outline what has been done before by citing truly pertinent literature. Indicate the significance, scope and limits of your work. In journals, this section is frequently not labelled.]

Methods used; instrumental, synthetic and analytical, as well as computational. Also, description of equipment built, compounds synthesized, computer programs written, etc.

[This section should include sufficient detail about the materials and methods that you used so that experienced workers could repeat your work and obtain comparable results.]

The data, complete and detailed, with sufficient description to be understood — but without interpretation.

[Summarize the data collected and the statistical treatment of them. Use equations, figures, and tables where necessary for clarity and conciseness.]

The interpretation, analysis and explanation of the results, both positive and negative; what does it all mean?

[In journal publications, the Results section is sometimes combined with the Discussion section of the paper.]

Final wrap-up statement.

[Have you resolved the original problem? If not, what exactly have you contributed? Conclusions must be based on evidence presented in the paper. Suggest further study or applications, if appropriate. This section may be omitted and its contents presented in the Discussion section.]

[The last paragraph of a journal article frequently contains acknowledgements of people, places, financing, etc.]

In the style indicated by your research director. If your research director does not indicate a specific style, use the following.  Book references.  Author or editor (last name followed by initials),book title in italics or underlined, publisher, city of publication, year of publication, page number(s). Dodd, J.S., Ed.; The ACS Style Guide, American Chemical Society:Washington, DC, 1986, pp 108-111.  Journal references.  Author (last name, followed by initials), abbreviated journal title in italics or underlined, year of publication (boldface), volume number in italics or underlined, and initial page of cited article (the complete span is better). Fletcher, T.R.; Rosenfeld, R.N. J. Am. Chem. Soc. 1985, 107, 2203-2212.

Any extensive tabulations of raw data, additional spectra not needed for illustration of the main text or listings of computer programs written or modified. That is, if there is just too much data to include in the Results Section or if much of the raw data have been abstracted and/or tabulated, these abstracts and/or tables may go in the Results Section along with only representative spectra (or chromatograms, etc.), and the bulk raw data put in Appendices. NEW: An  appendix on safety  should be added to the thesis.

• All pages should be numbered consecutively.
• Each table should be on a separate sheet, be consecutively numbered, and have a caption at the top. Columns must be labeled and all labels should be explained in the caption or in footnotes.
• Each figure should be carefully drawn on a separate sheet, consecutively numbered and accompanied by a legend. The legend should normally appear below the figure but may be placed on a separate sheet, if necessary. Figures should be carefully prepared using a drawing program such as ChemDraw or ISIS. Graphs are treated as figures, i.e., they should not be labeled as "Graph 1," "Graph 2," etc. Each axis of a graph must be clearly labeled as to the variable represented and its value along the axis. Each curve on a graph should be clearly identified. Raw data displayed in graphs may also appear in separate tables. All symbols and conventions, such as broken lines or dotted lines, should be explained in the legend.
• Insofar as is practical, mathematical equations, Greek letters, special mathematical symbols, and chemical reaction schemes should be typed in the text.
• Reprints or preprints of any publications that have already arisen from the research being reported may be appended.
• Further details may be obtained from  The ACS Style Guide .
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Guidelines For Writing A Chemistry Dissertation

Writing a chemistry dissertation requires an in-depth understanding of the subject and the ability to effectively communicate ideas. This article outlines guidelines for writing a chemistry dissertation, providing comprehensive guidance and advice for students.

The guidelines provided here can help students develop their skills in the areas of research, organization, and communication.

They also provide essential advice on topics such as:

• Creating an effective introduction
• Structuring the dissertation
• Crafting clear sentences and paragraphs
• Preparing references
• Proofreading

In short, they offer invaluable assistance throughout the entire process of writing a successful chemistry dissertation.

Choosing A Topic

Choosing a topic for your chemistry dissertation can be an intimidating process. The key to success is to know what type of data you are interested in analyzing and formulating questions that you want answered.

It is important to choose a topic that you are passionate about and have an interest in exploring further. This will help ensure that the research you conduct is meaningful and relevant to the field of chemistry.

Start by researching the literature on topics related to your interests, then narrow your focus to a specific area or question that you would like to explore further. Make sure your chosen topic has not been thoroughly explored before so that your work contributes something unique to the field.

Additionally, keep in mind any constraints such as time or resources when choosing a topic so that it is feasible for you to complete it within the given timeframe and with available resources.

Take advantage of advice from experienced researchers, who can provide valuable insights into how best to approach conducting research in chemistry. With careful planning and thoughtful consideration of all factors, selecting a suitable dissertation topic will set you on track towards completing a successful chemistry dissertation.

Conducting Research

The conduct of research is an essential component of writing a chemistry dissertation. It involves gathering data, analyzing it and making inferences on the basis of those results. Gathering data requires an understanding of how to use the scientific method, and interpretation of that data requires the application of chemistry principles and knowledge.

Furthermore, analysis of the data can be used to identify trends in chemical behavior or to develop new applications for chemistry. When conducting research, it is important to be aware of the potential sources of error that can occur when collecting and interpreting data. These errors can arise from discrepancies in measurement techniques or inaccurate calculations or interpretations.

Careful attention must be paid to ensure that all relevant information is taken into account when analyzing data, as well as any possible limitations associated with the methods used. Additionally, there may be specific applications for chemistry that need to be considered when analyzing the results obtained from a given experiment.

By understanding these potential sources of error and taking appropriate steps to minimize them, researchers can better ensure accuracy in their findings.

Planning Your Research

The first step of planning your research for a chemistry dissertation is to select resources that you will use in your work. Consider what kind of data and literature are available, determine the most appropriate sources, and have an understanding of the time frame for completing your research. You should also take into account any existing knowledge or theories related to your topic.

When it comes to choosing methods, you need to consider a range of factors including the availability of resources, the complexity of the task and any potential ethical issues associated with the research. Research methods can include experiments, surveys and interviews as well as more informal techniques such as observations or case studies.

It is important to ensure that the method chosen is suitable for your study and will provide valid results. Ultimately, selecting an appropriate method is essential in order to make sure that your research produces meaningful results.

Therefore, when planning your research for a chemistry dissertation, it is essential to undertake an extensive review of available resources and carefully consider which methods best suit your particular study. Taking time to carefully plan ahead will help ensure that you produce a high-quality piece of work that meets all expectations.

Writing Your Research Proposal

The next step in writing a chemistry dissertation is developing and writing the research proposal. To begin this process, it is important to recognize that the proposal serves as a road map for the entire project.

It should provide an overview of what will be studied, how it will be studied, and why it should be studied. This document should also include timelines, resources needed, and literature review information.

When developing the structure of the research proposal, it is important to consider all aspects of the project. This includes exploring various resources available to complete the project such as textbooks, websites, databases and other sources of information.

Additionally, it may be beneficial to consult with experts in the field or contacts at academic institutions who can provide guidance on your project topic. Once these resources have been identified and organized into an appropriate structure for your research proposal, you are ready to start writing.

Writing The Introduction

The introduction is the first section of your dissertation and serves to introduce the reader to the purpose of the paper, as well as provide a brief summary of what will be covered. It should be concise and straight to the point; providing only the necessary information.

Before you begin writing your introduction, it is important to spend time examining resources, exploring options and forming an outline for your paper. Doing so will allow you to focus on what needs to be included in this section and help you create a better structure for your work overall.

When writing your introduction, make sure that it is engaging enough for readers to want to continue reading. Start with general information about the topic and then narrow down until you reach your main argument or thesis statement. This should include any evidence or research that supports your claim and should be written without personal opinion or bias.

Additionally, ensure that all facts are backed by reliable sources such as peer-reviewed journals or books written by experts in the field. Once all these elements have been included in your introduction, it is time to move onto the next section of your dissertation.

Writing The Literature Review

Understanding the literature in one’s field of study is essential for any researcher. As such, a thorough literature review is an important part of writing a chemistry dissertation.

This section will address the importance of examining sources and interpreting data when composing a literature review.

Examining sources is one of the first steps in writing a chemistry dissertation. Sources can include academic journals, books, newspapers, and other publications relevant to the topic being studied. When conducting research, it is important to evaluate each source carefully to ensure that it is reliable and accurate. Additionally, all sources should be properly cited in the dissertation.

Interpreting data involves analyzing the findings from research studies to draw conclusions about the topic being studied. It is important to consider multiple perspectives when interpreting data and to consider alternative explanations for observations made during research. Ultimately, this step allows researchers to make informed decisions about their findings and adds credibility to their work.

Outlining The Dissertation

When outlining the dissertation, it is important to have a plan of action. Brainstorming ideas and collecting data are two essential steps in the process.

It is helpful to create an outline with key points that will be discussed throughout the dissertation. This can include topics such as background information, research questions, methodology, analysis and discussion, literature review and conclusion. Each section should be broken down into smaller subsections which will help keep a clear structure.

It is also beneficial to make use of visual tools such as concept maps or flowcharts when brainstorming ideas for your dissertation. This can help you organize your thoughts and make links between concepts that you may not have thought of initially.

Data collection is another important step in organizing a dissertation; this involves gathering evidence from primary or secondary sources to support your arguments and conclusions. Depending on the field you are researching, different types of data may need to be collected including interviews, surveys, statistics or archival documents.

Writing The Results And Discussion

The results and discussion section presents the data gathered in the study, as well as an interpretation of that data. It is important to accurately analyze trends and interpret the data to ensure its relevance to the research question. It is also important to consider any limitations or errors in the results and discuss their implications on the overall findings.

In this section, it is essential to use clear language when presenting the results and discussing them in relation to prior research. Care should be taken when interpreting the significance of any trends observed as well as when summarizing the implications for further research.

Furthermore, it is helpful for readers to include tables or figures within this section that allow for a visual representation of key results. Additionally, referencing other studies when discussing one’s own work allows for a more comprehensive understanding of how current findings fit into existing knowledge.

Ultimately, this section should provide an understanding of how the results support or refute the hypothesis established at the beginning of the project.

Writing The Conclusion

Having discussed the results and implications of the work conducted, it is now time to conclude the dissertation.

A conclusion should review the data presented in the previous sections and provide an overview of what has been achieved.

When writing a conclusion, it is important to include formatting tables that summarize all of the relevant information gathered during the course of research. Summarizing these tables allows for a concise yet comprehensive understanding of the topic at hand. Additionally, reviewing data allows one to identify any trends or patterns that may have emerged over the course of research.

Ultimately, conclusions should be written in an engaging style while keeping with an objective and impersonal tone.

This section should aim to serve readers by providing them with a comprehensive overview of the work conducted and its implications for future research or practice. By encapsulating all pertinent information in one place, readers are able to gain insight into the entire study without having to read through each section individually.

Preparing The Bibliography

Finding Sources is an important task when creating the bibliography for a chemistry dissertation. Relevant and reliable sources should be used when collecting the necessary information.

Creating Citations is the next step, which involves formatting the references and citing them correctly within the dissertation. It is important to adhere to the referencing conventions of the chosen citation style.

Finding Sources

Finding sources for the bibliography of a chemistry dissertation can be a daunting task. Securing funding, in particular, can be challenging, but there are many resources available to help students secure the necessary research grants and fellowships.

Citing sources is also an important part of preparing the bibliography. It is essential that students use reliable and accurate sources when citing research findings in their dissertations. Furthermore, students should take care to correctly cite every source they use to avoid plagiarism issues.

When looking for sources for their chemistry dissertation, students should consider using databases such as Google Scholar or PubMed Central, which allow them to search specifically for scholarly articles related to their research topic. Professional organizations such as the American Chemical Society (ACS) offer extensive resources that can aid in the research process. Additionally, libraries often provide access to various online databases and journals that may contain valuable information related to a student’s area of study.

Ultimately, with careful planning and preparation, students can ensure they have all of the necessary resources needed to complete their chemistry dissertation successfully.

Creating Citations

Once students have located the sources they need for their bibliography, they must then create citations for each of those sources.

Depending on the formatting style they are using, citations may include information such as author names, publication dates, and page numbers.

Additionally, students should make sure their citations are accurate and consistent with the formatting style guidelines.

For example, when citing books in APA format, the author name should be listed first followed by the year of publication and the title of the book.

The American Psychological Association (APA) is one of the most commonly used formats for citing sources in academic writing.

However, other popular formats include MLA and Chicago.

It is important that students check with their supervisor to ensure they are using the correct citation style for their dissertation.

Furthermore, many universities offer writing support services that can provide assistance with formatting citations correctly.

Proofreading And Editing

Thorough proofreading and editing is an important part of the dissertation writing process.

It is essential to ensure that your dissertation is free from any errors in grammar, sentence structure and punctuation.

An effective approach in this regard would be to have a peer review of your dissertation before submitting it.

This will enable you to identify any potential mistakes and rectify them accordingly.

Additionally, you can also use automated grammar checkers or other online tools to help ensure accuracy in your work.

Furthermore, having a professional proofreader or editor review your work can also be beneficial for further improving the quality of your dissertation.

Therefore, it is highly recommended that you take the time to proofread and edit your dissertation thoroughly so that it reflects the highest standards of academic writing.

Submitting The Dissertation

Now that the dissertation has been proofread and edited, it is time to submit the dissertation. The submission process should be done in a timely manner; it is important to use appropriate time management strategies to ensure deadlines are met. Additionally, data analysis should be conducted before submitting the dissertation to verify that all results are correct and well documented.

The submission process begins with a review of any guidelines given by the institution or department for which you are submitting your work. It is essential to ensure that all formatting requirements have been met, such as font size and type, line spacing, margins, etc.

After this review has been completed, the dissertation can then be submitted online via an online portal or email.

Finally, once the dissertation has been accepted by the department or institution, a hard copy needs to be printed and submitted along with any additional documents required by the institution or department.

To make sure your dissertation submission meets all criteria:

• Familiarize yourself with all formatting requirements
• Ensure data analysis is complete and accurate
• Submit your work in a timely manner
• Have a backup plan in case of technical difficulties

Submitting your chemistry dissertation does not need to be overwhelming – with proper knowledge of formatting requirements and time management techniques, you can make sure your paper meets all expectations! By following these tips and tricks you can guarantee that the submission process runs smoothly.

Frequently Asked Questions

How long should a chemistry dissertation be.

When writing a chemistry dissertation, it is important to keep in mind that the length of the document should be appropriate for the scope and depth of research.

Generally, dissertations for a bachelor’s or master’s degree should range between 10-20 pages.

A doctoral dissertation may range between 40-100 pages depending on the complexity of the research methods and data analysis used.

It is important to ensure that all relevant information regarding the chemistry methodologies and data analysis are included within the scope of the dissertation.

How Do I Choose A Supervisor For My Dissertation?

Choosing a supervisor for a chemistry dissertation can be a difficult decision.

When selecting a supervisor, it is important to consider their expertise and research methods.

It is also beneficial to gain feedback from other academics or students who have worked with the potential supervisor in the past.

Furthermore, having references and resources that are relevant to your topic of research may prove useful when discussing and seeking advice from your potential supervisor.

Ultimately, the best way to determine if a supervisor is right for you is by researching their background and having an open discussion about expectations, deadlines, and research methods.

What Is The Best Way To Structure My Dissertation?

When structuring a dissertation, it is important to keep in mind the purpose of the document and create a plan for tackling all elements.

Start by choosing topics, researching them, and writing drafts.

Revise these drafts based on feedback from your supervisor or peers.

Be sure to give yourself enough time to review, revise, and refine your work before submitting the final version of your dissertation.

Additionally, consider creating an outline that allows you to organize and prioritize sections of your dissertation for a logical flow throughout the document.

How Much Time Should I Spend On Each Section Of My Dissertation?

Developing an effective time management strategy when writing a dissertation is essential in order to ensure that each section of the dissertation is given the appropriate amount of attention.

It is important to consider the length and complexity of each section, as well as the amount of research required.

For example, if there is a large amount of data analysis to be done, then more time should be allocated for this portion compared to other sections.

Students should also consult their supervisors regularly throughout the process to ensure that they are on track with their research and writing schedule.

By following these guidelines and taking into account any feedback from supervisors, students can build an effective timeline for completing their dissertation successfully.

Are There Any Resources Available To Help Me With My Dissertation?

Writing a dissertation is no easy task. It requires research strategies, formatting tips, and other resources to ensure it is completed accurately and thoroughly.

Fortunately, there are many resources available to help students with their dissertations. Online tutors can provide guidance in researching topics, constructing arguments, citing sources, and formatting papers according to academic standards. Additionally, there are various online tools such as referencing guides and templates that can be used to make the process easier.

Lastly, university libraries typically offer workshops on dissertation writing which can be beneficial for those who need more assistance or for those who want to refine their skills.

The completion of a chemistry dissertation can be a daunting task for any student. With the right guidance and resources, however, it is possible to write an effective and comprehensive dissertation.

It is important to consider the length of the dissertation, selecting a supervisor, structuring the dissertation, and allocating time to each section. Furthermore, there are many online resources available to help guide students through the process.

By researching these topics thoroughly and devoting sufficient time to each aspect of the dissertation, students can ensure that their work meets all academic standards.

To successfully complete a chemistry dissertation requires dedication, research and effort; however, with careful preparation and support, it is achievable.

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How Long is a Dissertation for a PhD?

How long is a dissertation? This is one of the most common questions asked by current or aspiring doctoral students.

A dissertation is an extensive research project that contributes fresh knowledge to the author’s field. Many doctoral programs require students to write, defend, and revise a dissertation to earn their degrees.

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This article explores the average length of a dissertation and various factors that affect the scope of these papers.

How Long Is a Dissertation?

For most graduate students, the dissertation is the longest and most time-consuming paper they write throughout their education. This project aims to address a research question in the student’s field and build on existing bodies of scholarship.

Additionally, the dissertation showcases the student’s mastery of research methodologies. Because a dissertation must accomplish several goals, they tend to be ambitious and lengthy.

Most dissertations are 100 to 250 pages long. But many factors impact the length of a dissertation, including:

• Academic field . Each discipline has different norms regarding dissertation content and length. For instance, literature dissertations often include extended close readings of texts, while science dissertations focus more on data analysis and research design. As a result, humanities dissertations are typically longer.
• Institutional requirements . Most colleges and universities specify a minimum number of pages for the dissertation. You can ask your academic advisor or the graduate studies office about specific dissertation guidelines.
• Topic complexity . Broad or complex research questions may require more data and analysis to answer, resulting in a longer dissertation.
• Individual writing style . Some doctoral students enjoy writing elaborate and detailed sentences, while others prefer to get straight to the point.
• Research methodologies . The approaches and methods used in the research can dramatically affect the length of the dissertation. For example, some dissertations include case studies, which may require lengthy explanations and analyses. Others use quantitative research methods and may include a number of charts and figures.
• Committee feedback . Graduate students typically write their dissertations under the supervision of a faculty committee. These professors may recommend adding or cutting material during revision, impacting the dissertation’s final length.
• Future goals . Some doctoral students plan to revise their dissertation and publish it as an academic monograph after graduation. Writing a longer dissertation gives them more material to adapt for their book.

Reading dissertations from your department and field can give you a better sense of the typical length.

How Long Are Dissertations by Discipline?

The answer to “how long is a doctoral dissertation?” varies by field. In some disciplines, it’s common for graduate students to spend several years writing extensive manuscripts. Other fields produce shorter dissertations of approximately 100 pages.

Here are a few examples of dissertation norms for different disciplines:

• Arts : Students studying art and creative writing may produce a creative dissertation. These projects typically consist of a theoretical introduction and a creative project, such as a poetry collection or a series of paintings. Creative dissertations may have fewer than 100 written pages, but the artistic elements can still be time-consuming.
• Chemistry : These dissertations typically range from 100 to 150 pages. They typically describe experimental methodologies and draw conclusions from the author’s findings.
• Computer science : Dissertations in this field are generally 50 to 150 pages long and often include quantitative data and algorithms.
• English : PhD students in this field frequently write lengthy literature reviews and provide in-depth analyses of novels and other texts. English dissertations may range from 200 to 350 pages.

Faculty in your discipline can help you understand dissertation expectations.

Average Dissertation Length Per Chapter

Dissertations typically have similar components and structures across disciplines. Here are six common chapters and their average lengths:

• Introduction : The first chapter introduces the primary research topic and explains its relevance to the field. The introduction also provides a brief overview of the investigation method. Most introductions are 10 to 25 pages long.
• Literature review : This chapter situates the project within the broader discipline. The author analyzes existing sources already written on their research topic and identifies biases or gaps that their own project remedies. Humanities dissertations tend to have 20 to 30 page literature reviews, while STEM dissertations devote 10 to 20 pages to this component.
• Methodology : The third chapter typically focuses on the methods and techniques used to gather data. Ideally, this description should contain all the details that another researcher would need to duplicate the experiment and verify the results. The methodology chapter ranges from 15 to 25 pages, depending on the complexity of the research.
• Findings : This section analyzes the collected data and discusses the results of the research project. It often includes charts, diagrams, and other data visualizations illustrating the findings. This chapter could be 20 to 50 pages, depending on the number of images and the amount of text needed to thoroughly examine the results.
• Discussion : This chapter explains the significance of the results. The author may also compare their findings to previously published scholarship. The discussion is typically 15 to 25 pages.
• Conclusion : The author summarizes their findings, acknowledges the limitations of their research, and suggests avenues for future studies. Most conclusions consist of 15 to 20 pages.

Some dissertations deviate from this format. For instance, English dissertations may devote several chapters to critical analyses of different genres or authors.

What Is a Dissertation?

A dissertation is a lengthy written document that a doctoral student produces based on their original research. This project demonstrates the student’s expertise in their area of specialty and contributes to existing knowledge in the field.

Dissertations typically fall into one of two categories. Empirical dissertations require students to collect and analyze data. For instance, a psychology student may interview people about their mental health, while a marketing student could interpret sales data.

Theoretical dissertations focus on analyzing existing scholarship and secondary sources. For example, a literature student might research psychoanalysis and apply this approach to superhero comics.

How Many Pages Is a Dissertation?

The length of a dissertation varies by discipline, institution, and research project. Some dissertations can be as short as 50 pages, while others may total 400 pages. But the average dissertation ranges from 100 pages to 250 pages.

Dissertations in the humanities and social sciences are typically the most extensive. These projects often include detailed analyses, case studies, and literature reviews. By contrast, dissertations in STEM fields like economics and mathematics are often 150 pages or less.

Students in these disciplines frequently use mathematical formulas and data visualizations to prove their findings, resulting in less text.

Why Are Dissertations So Long?

Dissertations are typically the most extended assignments that students complete in graduate school. Several factors contribute to their length, including:

• Depth of research . Doctoral students can spend several years researching their topic and analyzing data. This extensive work often takes hundreds of pages to summarize and explain.
• Literature review . Most fields have extensive bodies of scholarship, so students spend many pages analyzing sources and contextualizing their projects.
• Bibliography . Dissertations often cite dozens or even hundreds of sources, resulting in lengthy bibliographies.

Also, colleges often require dissertations to include additional materials like abstracts and tables of content.

What’s the Difference Between a Dissertation vs. Thesis?

Depending on the type of graduate program you enroll in, you may be required to write a dissertation or thesis. Here are the main differences between a thesis vs. dissertation .

If you want to develop your own concepts or theories, a dissertation can help you accomplish this goal.

What’s the Difference Between a Capstone vs. Dissertation?

There are doctorate programs with no dissertation. Like some online doctoral programs in education without dissertation requirements, they have a capstone project instead. Here’s a comparison of a dissertation vs. capstone .

Your career goals can help determine if a capstone or dissertation is right for you.

How Long Is a Dissertation for a PhD Degree?

People often wonder, “How long is a PhD dissertation?” These projects are typically 100 to 250 pages long, though dissertations on complex topics may total more than 400 pages.

Writing a dissertation allows you to develop advanced expertise on your chosen research topic. Many students also publish portions of their dissertations as peer-reviewed articles and share their findings at conferences. These activities enhance your CV and may make you more competitive for academic jobs.

You can kickstart your doctoral journey today by researching accredited online programs in your field.

Tips for writing a PhD dissertation: FAQs answered

From how to choose a topic to writing the abstract and managing work-life balance through the years it takes to complete a doctorate, here we collect expert advice to get you through the PhD writing process

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Embarking on a PhD is “probably the most challenging task that a young scholar attempts to do”, write Mark Stephan Felix and Ian Smith in their practical guide to dissertation and thesis writing. After years of reading and research to answer a specific question or proposition, the candidate will submit about 80,000 words that explain their methods and results and demonstrate their unique contribution to knowledge. Here are the answers to frequently asked questions about writing a doctoral thesis or dissertation.

What’s the difference between a dissertation and a thesis?

Whatever the genre of the doctorate, a PhD must offer an original contribution to knowledge. The terms “dissertation” and “thesis” both refer to the long-form piece of work produced at the end of a research project and are often used interchangeably. Which one is used might depend on the country, discipline or university. In the UK, “thesis” is generally used for the work done for a PhD, while a “dissertation” is written for a master’s degree. The US did the same until the 1960s, says Oxbridge Essays, when the convention switched, and references appeared to a “master’s thesis” and “doctoral dissertation”. To complicate matters further, undergraduate long essays are also sometimes referred to as a thesis or dissertation.

The Oxford English Dictionary defines “thesis” as “a dissertation, especially by a candidate for a degree” and “dissertation” as “a detailed discourse on a subject, especially one submitted in partial fulfilment of the requirements of a degree or diploma”.

• Ten platinum rules for PhD supervisors
• Fostering freedom in PhD students: how supervisors can shape accessible paths for doctoral research
• Lessons from students on effective research supervision

The title “doctor of philosophy”, incidentally, comes from the degree’s origins, write Dr Felix, an associate professor at Mahidol University in Thailand, and Dr Smith, retired associate professor of education at the University of Sydney , whose co-authored guide focuses on the social sciences. The PhD was first awarded in the 19th century by the philosophy departments of German universities, which at that time taught science, social science and liberal arts.

How long should a PhD thesis be?

A PhD thesis (or dissertation) is typically 60,000 to 120,000 words ( 100 to 300 pages in length ) organised into chapters, divisions and subdivisions (with roughly 10,000 words per chapter) – from introduction (with clear aims and objectives) to conclusion.

The structure of a dissertation will vary depending on discipline (humanities, social sciences and STEM all have their own conventions), location and institution. Examples and guides to structure proliferate online. The University of Salford , for example, lists: title page, declaration, acknowledgements, abstract, table of contents, lists of figures, tables and abbreviations (where needed), chapters, appendices and references.

A scientific-style thesis will likely need: introduction, literature review, materials and methods, results, discussion, bibliography and references.

As well as checking the overall criteria and expectations of your institution for your research, consult your school handbook for the required length and format (font, layout conventions and so on) for your dissertation.

A PhD takes three to four years to complete; this might extend to six to eight years for a part-time doctorate.

What are the steps for completing a PhD?

Before you get started in earnest , you’ll likely have found a potential supervisor, who will guide your PhD journey, and done a research proposal (which outlines what you plan to research and how) as part of your application, as well as a literature review of existing scholarship in the field, which may form part of your final submission.

In the UK, PhD candidates undertake original research and write the results in a thesis or dissertation, says author and vlogger Simon Clark , who posted videos to YouTube throughout his own PhD journey . Then they submit the thesis in hard copy and attend the viva voce (which is Latin for “living voice” and is also called an oral defence or doctoral defence) to convince the examiners that their work is original, understood and all their own. Afterwards, if necessary, they make changes and resubmit. If the changes are approved, the degree is awarded.

The steps are similar in Australia , although candidates are mostly assessed on their thesis only; some universities may include taught courses, and some use a viva voce. A PhD in Australia usually takes three years full time.

In the US, the PhD process begins with taught classes (similar to a taught master’s) and a comprehensive exam (called a “field exam” or “dissertation qualifying exam”) before the candidate embarks on their original research. The whole journey takes four to six years.

A PhD candidate will need three skills and attitudes to get through their doctoral studies, says Tara Brabazon , professor of cultural studies at Flinders University in Australia who has written extensively about the PhD journey :

• master the academic foundational skills (research, writing, ability to navigate different modalities)
• time-management skills and the ability to focus on reading and writing
• determined motivation to do a PhD.

How do I choose the topic for my PhD dissertation or thesis?

It’s important to find a topic that will sustain your interest for the years it will take to complete a PhD. “Finding a sustainable topic is the most important thing you [as a PhD student] would do,” says Dr Brabazon in a video for Times Higher Education . “Write down on a big piece of paper all the topics, all the ideas, all the questions that really interest you, and start to cross out all the ones that might just be a passing interest.” Also, she says, impose the “Who cares? Who gives a damn?” question to decide if the topic will be useful in a future academic career.

The availability of funding and scholarships is also often an important factor in this decision, says veteran PhD supervisor Richard Godwin, from Harper Adams University .

Define a gap in knowledge – and one that can be questioned, explored, researched and written about in the time available to you, says Gina Wisker, head of the Centre for Learning and Teaching at the University of Brighton. “Set some boundaries,” she advises. “Don’t try to ask everything related to your topic in every way.”

James Hartley, research professor in psychology at Keele University, says it can also be useful to think about topics that spark general interest. If you do pick something that taps into the zeitgeist, your findings are more likely to be noticed.

You also need to find someone else who is interested in it, too. For STEM candidates , this will probably be a case of joining a team of people working in a similar area where, ideally, scholarship funding is available. A centre for doctoral training (CDT) or doctoral training partnership (DTP) will advertise research projects. For those in the liberal arts and social sciences, it will be a matter of identifying a suitable supervisor .

Avoid topics that are too broad (hunger across a whole country, for example) or too narrow (hunger in a single street) to yield useful solutions of academic significance, write Mark Stephan Felix and Ian Smith. And ensure that you’re not repeating previous research or trying to solve a problem that has already been answered. A PhD thesis must be original.

What is a thesis proposal?

After you have read widely to refine your topic and ensure that it and your research methods are original, and discussed your project with a (potential) supervisor, you’re ready to write a thesis proposal , a document of 1,500 to 3,000 words that sets out the proposed direction of your research. In the UK, a research proposal is usually part of the application process for admission to a research degree. As with the final dissertation itself, format varies among disciplines, institutions and countries but will usually contain title page, aims, literature review, methodology, timetable and bibliography. Examples of research proposals are available online.

How to write an abstract for a dissertation or thesis

The abstract presents your thesis to the wider world – and as such may be its most important element , says the NUI Galway writing guide. It outlines the why, how, what and so what of the thesis . Unlike the introduction, which provides background but not research findings, the abstract summarises all sections of the dissertation in a concise, thorough, focused way and demonstrates how well the writer understands their material. Check word-length limits with your university – and stick to them. About 300 to 500 words is a rough guide ­– but it can be up to 1,000 words.

The abstract is also important for selection and indexing of your thesis, according to the University of Melbourne guide , so be sure to include searchable keywords.

It is the first thing to be read but the last element you should write. However, Pat Thomson , professor of education at the University of Nottingham , advises that it is not something to be tackled at the last minute.

How to write a stellar conclusion

As well as chapter conclusions, a thesis often has an overall conclusion to draw together the key points covered and to reflect on the unique contribution to knowledge. It can comment on future implications of the research and open up new ideas emanating from the work. It is shorter and more general than the discussion chapter , says online editing site Scribbr, and reiterates how the work answers the main question posed at the beginning of the thesis. The conclusion chapter also often discusses the limitations of the research (time, scope, word limit, access) in a constructive manner.

It can be useful to keep a collection of ideas as you go – in the online forum DoctoralWriting SIG , academic developer Claire Aitchison, of the University of South Australia , suggests using a “conclusions bank” for themes and inspirations, and using free-writing to keep this final section fresh. (Just when you feel you’ve run out of steam.) Avoid aggrandising or exaggerating the impact of your work. It should remind the reader what has been done, and why it matters.

How to format a bibliography (or where to find a reliable model)

Most universities use a preferred style of references , writes THE associate editor Ingrid Curl. Make sure you know what this is and follow it. “One of the most common errors in academic writing is to cite papers in the text that do not then appear in the bibliography. All references in your thesis need to be cross-checked with the bibliography before submission. Using a database during your research can save a great deal of time in the writing-up process.”

A bibliography contains not only works cited explicitly but also those that have informed or contributed to the research – and as such illustrates its scope; works are not limited to written publications but include sources such as film or visual art.

Examiners can start marking from the back of the script, writes Dr Brabazon. “Just as cooks are judged by their ingredients and implements, we judge doctoral students by the calibre of their sources,” she advises. She also says that candidates should be prepared to speak in an oral examination of the PhD about any texts included in their bibliography, especially if there is a disconnect between the thesis and the texts listed.

Can I use informal language in my PhD?

Don’t write like a stereotypical academic , say Kevin Haggerty, professor of sociology at the University of Alberta , and Aaron Doyle, associate professor in sociology at Carleton University , in their tongue-in-cheek guide to the PhD journey. “If you cannot write clearly and persuasively, everything about PhD study becomes harder.” Avoid jargon, exotic words, passive voice and long, convoluted sentences – and work on it consistently. “Writing is like playing guitar; it can improve only through consistent, concerted effort.”

Be deliberate and take care with your writing . “Write your first draft, leave it and then come back to it with a critical eye. Look objectively at the writing and read it closely for style and sense,” advises THE ’s Ms Curl. “Look out for common errors such as dangling modifiers, subject-verb disagreement and inconsistency. If you are too involved with the text to be able to take a step back and do this, then ask a friend or colleague to read it with a critical eye. Remember Hemingway’s advice: ‘Prose is architecture, not interior decoration.’ Clarity is key.”

How often should a PhD candidate meet with their supervisor?

Since the PhD supervisor provides a range of support and advice – including on research techniques, planning and submission – regular formal supervisions are essential, as is establishing a line of contact such as email if the candidate needs help or advice outside arranged times. The frequency varies according to university, discipline and individual scholars.

Once a week is ideal, says Dr Brabazon. She also advocates a two-hour initial meeting to establish the foundations of the candidate-supervisor relationship .

The University of Edinburgh guide to writing a thesis suggests that creating a timetable of supervisor meetings right at the beginning of the research process will allow candidates to ensure that their work stays on track throughout. The meetings are also the place to get regular feedback on draft chapters.

“A clear structure and a solid framework are vital for research,” writes Dr Godwin on THE Campus . Use your supervisor to establish this and provide a realistic view of what can be achieved. “It is vital to help students identify the true scientific merit, the practical significance of their work and its value to society.”

How to proofread your dissertation (what to look for)

Proofreading is the final step before printing and submission. Give yourself time to ensure that your work is the best it can be . Don’t leave proofreading to the last minute; ideally, break it up into a few close-reading sessions. Find a quiet place without distractions. A checklist can help ensure that all aspects are covered.

Proofing is often helped by a change of format – so it can be easier to read a printout rather than working off the screen – or by reading sections out of order. Fresh eyes are better at spotting typographical errors and inconsistencies, so leave time between writing and proofreading. Check with your university’s policies before asking another person to proofread your thesis for you.

As well as close details such as spelling and grammar, check that all sections are complete, all required elements are included , and nothing is repeated or redundant. Don’t forget to check headings and subheadings. Does the text flow from one section to another? Is the structure clear? Is the work a coherent whole with a clear line throughout?

Ensure consistency in, for example, UK v US spellings, capitalisation, format, numbers (digits or words, commas, units of measurement), contractions, italics and hyphenation. Spellchecks and online plagiarism checkers are also your friend.

How do you manage your time to complete a PhD dissertation?

Treat your PhD like a full-time job, that is, with an eight-hour working day. Within that, you’ll need to plan your time in a way that gives a sense of progress . Setbacks and periods where it feels as if you are treading water are all but inevitable, so keeping track of small wins is important, writes A Happy PhD blogger Luis P. Prieto.

Be specific with your goals – use the SMART acronym (specific, measurable, attainable, relevant and timely).

And it’s never too soon to start writing – even if early drafts are overwritten and discarded.

“ Write little and write often . Many of us make the mistake of taking to writing as one would take to a sprint, in other words, with relatively short bursts of intense activity. Whilst this can prove productive, generally speaking it is not sustainable…In addition to sustaining your activity, writing little bits on a frequent basis ensures that you progress with your thinking. The comfort of remaining in abstract thought is common; writing forces us to concretise our thinking,” says Christian Gilliam, AHSS researcher developer at the University of Cambridge ’s Centre for Teaching and Learning.

Make time to write. “If you are more alert early in the day, find times that suit you in the morning; if you are a ‘night person’, block out some writing sessions in the evenings,” advises NUI Galway’s Dermot Burns, a lecturer in English and creative arts. Set targets, keep daily notes of experiment details that you will need in your thesis, don’t confuse writing with editing or revising – and always back up your work.

What work-life balance tips should I follow to complete my dissertation?

During your PhD programme, you may have opportunities to take part in professional development activities, such as teaching, attending academic conferences and publishing your work. Your research may include residencies, field trips or archive visits. This will require time-management skills as well as prioritising where you devote your energy and factoring in rest and relaxation. Organise your routine to suit your needs , and plan for steady and regular progress.

How to deal with setbacks while writing a thesis or dissertation

Have a contingency plan for delays or roadblocks such as unexpected results.

Accept that writing is messy, first drafts are imperfect, and writer’s block is inevitable, says Dr Burns. His tips for breaking it include relaxation to free your mind from clutter, writing a plan and drawing a mind map of key points for clarity. He also advises feedback, reflection and revision: “Progressing from a rough version of your thoughts to a superior and workable text takes time, effort, different perspectives and some expertise.”

“Academia can be a relentlessly brutal merry-go-round of rejection, rebuttal and failure,” writes Lorraine Hope , professor of applied cognitive psychology at the University of Portsmouth, on THE Campus. Resilience is important. Ensure that you and your supervisor have a relationship that supports open, frank, judgement-free communication.

If you would like advice and insight from academics and university staff delivered direct to your inbox each week, sign up for the Campus newsletter .

Authoring a PhD Thesis: How to Plan, Draft, Write and Finish a Doctoral Dissertation (2003), by Patrick Dunleavy

Writing Your Dissertation in Fifteen Minutes a Day: A Guide to Starting, Revising, and Finishing Your Doctoral Thesis (1998), by Joan Balker

Challenges in Writing Your Dissertation: Coping with the Emotional, Interpersonal, and Spiritual Struggles (2015), by Noelle Sterne

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Trapped in dissertation revisions?

How long is a dissertation, published by steve tippins on april 9, 2019 april 9, 2019.

Last Updated on: 2nd February 2024, 05:03 am

How long is a dissertation? This is a question that almost every doctoral student asks at some point. It is not a new question–in fact, it’s been asked every time a paper of some sort is assigned in any class.

The simple answer (for any paper) is, “long enough to answer the question.” Not a really helpful answer, but satisfying from a professor’s perspective.

The truth is, there is no one answer to how long a dissertation is. I can’t say 146 pages is what’s needed, as you may write to page 146 and stop without fully exploring your topic. 90 pages could adequately address your research question, or you could write 200 pages and still not fully answer what you set out to. Every topic is unique, as is each person’s writing style.

Some websites even give specific answers that are simply inaccurate. In my experience, dissertations vary too much to be pinned down like that.

However, there are some practical suggestions I can make about how long your dissertation should be, how to adequately address the requirements of each section, as well as how to expand or reduce the length of specific chapters according to your needs. I’ll explore these below.

But first, let’s try and at least give the beginning of an answer to the question “how long is a dissertation?”

Marcus Beck Sets Out to Answer “How Long Is A Dissertation?”

Any discussion of dissertation length must include the work done by Marcus Beck . As a way to distract himself from his own dissertation writing, Beck calculated the average length of dissertations in the University of Minnesota database.

You can see from looking at his data that average length varies by discipline. So the first answer to how long a dissertation is, is that it depends upon what area you are writing your dissertation. It appears that a dissertation in History will be much longer, on average, than one in Chemistry. He also calculated the average across all disciplines.

Don’t be intimidated by how long the average dissertation is.

Many people look at the average length of a dissertation and get intimidated by the high page count. But, as Marcus Beck says in his blog post, “The actual written portion may only account for less than 50% of the page length.”

I’ve found this to be true. References, appendixes, tables and figures, page breaks, and white space all contribute to the high page count. The actual number of words you need to write is likely considerably less than the page count initially implies.

How Long Should My Dissertation Be?

Even though there’s no single answer about how long a dissertation should be, there probably is an ideal range which your dissertation falls into. This depends on your topic of research, but also on other factors. I’ll discuss some of these below.

Institutional Guidelines

I know of schools that have policies such as “Chapter 2 must be at least 40 pages long and no more than 60 pages.” Why this type of requirement? In my mind, there are two reasons.

First, they want to give some sort of guideline for students that is helpful but does not overburden faculty (a 230-page lit review is daunting to read).

Second, credibility is important. An 8-page lit review does not reflect well upon the student or the institution.

Most schools now have a dissertation template with the headings that are needed for most sections. If you take the time to completely fill in the headings with all of the relevant information, you should come up with an adequate number of pages. Remember, in academic writing, we don’t leave much to chance, we tell the reader everything.

Committee Preferences

It is likely that you will get a committee member who will give you priceless advice such as, “more is needed here.” When you get this type of comment it can be frustrating as specific feedback can be much more helpful.

Usually, what a committee member means by comments like this is that you haven’t really convinced the reader that you have fully explored the area or demonstrated a strong understanding of the material. So, expand what you are saying. Don’t imply anything, state it directly. This lets your committee know that you really do get it.

Sometimes you will get committee members giving contradictory advice. One member may want more information and another may want less. My first piece of advice is to negotiate these types of requests through your Chairperson.

This is where your Chair’s experience and guidance can be very helpful. Second, if a member really wants material included but others do not think it is very helpful, then adding the material in an appendix may make everyone happy.

Practical Suggestions For Dissertation Length, Chapter-By-Chapter

If you adequately and succinctly address each required section, you should end up with the right length for each chapter (and therefore, a dissertation of the right length). I’ll also give some rough guidelines on average page length where appropriate.

This is the introduction to your study. It is important to lay out the agenda for your research. Be sure that your problem statement, title, and research questions are in alignment (all referring to the same idea).

Chapter 1 tends to average in the 15-25 page range. If you get beyond 25 pages, you are usually including material that is better presented elsewhere in the dissertation.

Chapter 2 should thoroughly explore the existing research on your topic. However, it shouldn’t go on and on.

• If you are looking to beef up Chapter 2, it is always helpful to add research that supports the methodology that you are planning to use.
• If the chapter is too long, try to reduce the references you cite to those that are the most relevant and recent.

Make sure that you tell the reader what you did and how you did it. What type of analysis did you use and why? How many respondents were involved and how did you find them? The idea is to make sure that readers understand what you did and could replicate it if they want to.

As this is a plan for your research, it seems to naturally fall in the 15 to 20 page range.

The results of your study are presented here. Include all material that will help the reader understand what you found. There is a tendency to inundate the reader with tables, charts, and graphs. If they don’t directly relate to what you found or are redundant they can be included in an appendix. You don’t want to lose your reader in an avalanche of tables and numbers.

In most dissertations, it is Chapter 5 where you get to explain what the results of your research mean and the implications. This is the only chapter where you have some freedom to really express your opinions. Go ahead and do so.

I am always surprised when someone has spent 15 months of their life working on a research topic and they submit a Chapter 5 that is 8 pages long. Spread your wings and really explore what your results mean.

How Long is a Dissertation? Summary

The is no doubt about it, a dissertation is a long document. It is, however, not written in one sitting. You work on it for many months, crafting paragraphs and coming to conclusions. Many people find that because the document can be written in pieces that when it’s all put together, it is longer than expected. Keep writing and adding your thoughts and you will make it.

Many students find it helps to have a supportive guide who’s both been through the dissertation writing process before and is experienced in helping students. If that would be useful to you, feel free to reach out to me about my dissertation coaching or dissertation editing services.

Steve Tippins

Steve Tippins, PhD, has thrived in academia for over thirty years. He continues to love teaching in addition to coaching recent PhD graduates as well as students writing their dissertations. Learn more about his dissertation coaching and career coaching services. Book a Free Consultation with Steve Tippins

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• 04 December 2020
• Correction 09 December 2020

How to write a superb literature review

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Literature reviews are important resources for scientists. They provide historical context for a field while offering opinions on its future trajectory. Creating them can provide inspiration for one’s own research, as well as some practice in writing. But few scientists are trained in how to write a review — or in what constitutes an excellent one. Even picking the appropriate software to use can be an involved decision (see ‘Tools and techniques’). So Nature asked editors and working scientists with well-cited reviews for their tips.

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Correction 09 December 2020 : An earlier version of the tables in this article included some incorrect details about the programs Zotero, Endnote and Manubot. These have now been corrected.

Hsing, I.-M., Xu, Y. & Zhao, W. Electroanalysis 19 , 755–768 (2007).

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Be prepared for writing your dissertation

25 January 2022

Knowing where to start with your dissertation can be confusing. We’ve compiled some resources and support available to help you succeed.

Writing your dissertation marks the end of a very important stage in your educational journey. It provides you with the opportunity to collate all the skills you have gained and  showcase your research in an original piece to the academic community.

The art of compiling your dissertation is difficult, but fear not, here are ways to help you get ready:

• Speak to your personal tutor/members of staff to find out what resources and activities your department offers to support you with your dissertation or research project.
• The writing process
• Academic integrity
• Literature searching
• Systematic reviews/literature reviews
• Referencing
• Evaluating information
• Working with data
• Getting help
• Explore the Students' Union  Language + Writing Support programme   for international students or students whose English is a second or third language. 
• Log in to LinkedIn Learning with your UCL ID and access free online video tutorials, ranging from research design to digital tools that support long-form writing projects, as well as statistical software for running quantitative tests.

There will be challenges, so be sure to seek the support you need. Take it step by step and before you know it, you’ll have completed the most important paper of your educational career!  

Last updated: 14 May 2024. 

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Reviewing the Literature: Why do it?

• Personal: To familiarize yourself with a new area of research, to get an overview of a topic, so you don't want to miss something important, etc.
• Required writing for a journal article, thesis or dissertation, grant application, etc.

Literature reviews vary; there are many ways to write a literature review based on discipline, material type, and other factors.

Background:

• Literature Reviews - UNC Writing Center
• Literature Reviews: An Overview for Graduate Students  - What is a literature review? What purpose does it serve in research? What should you expect when writing one? - NCSU Video

Where to get help (there are lots of websites, blogs , articles,  and books on this topic) :

• The Center for writing and Communicating Ideas (CWCI)
• (these are non-STEM examples: dissertation guidance , journal guidelines )
• How to prepare a scientific doctoral dissertation based on research articles (2012)
• Writing a graduate thesis or dissertation (2016)
• The good paper : a handbook for writing papers in higher education (2015)
• Proposals that work : a guide for planning dissertations and grant proposals (2014)
• Theses and dissertations : a guide to planning, research, and writing (2008)
• Talk to your professors, advisors, mentors, peers, etc. for advice

READ related material and pay attention to how others write their literature reviews:

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Thesis Preparation and Defense

Thesis committee.

Students must select the members of their thesis committee at some point following the successful completion of their candidacy exam, but no later than October 1st of their third year in residence. Such a committee is comprised of the student’s research supervisor as well as two additional members of the University of Chicago faculty, one of whom must have an appointment in the Chemistry Department. If necessary, due to changes in staffing, alterations in research direction, or developing collaborations, the membership of the committee can be changed at any point in time with written notice provided to the Associate Chair and the Director of Graduate Studies.

Thesis Preparation and Submission

The dissertation office.

Several resources related to preparing and submitting your thesis are available through the  UChicago Dissertation Office .  Here you can find the current  University-wide requirements for dissertations  and other policies, an overview of the thesis preparation process, and a useful  dissertation requirements checklist , among other resources.  You should seek out information about these requirements early in the writing process, when it is most useful.

The final copy of your dissertation must be uploaded to the Dissertation Office site by the  deadline specified by the Dissertation Office  each quarter.

At the time of uploading, you must submit the  Department Approval Form  to the Department Office (Searle 126). You must complete this form and have it signed by your Advisor in the top right-hand corner. The Director of Graduate Studies will not be able to approve your thesis unless the Departmental Approval Form has been signed by your research advisor.

• UChicago Dissertation Office
• University-wide requirements for dissertations
• Thesis submission deadlines
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• Department Approval Form

Final Oral Examination

Each Ph.D. candidate shall schedule a final oral examination with his/her dissertation examining committee. This normally occurs after the dissertation is written, but prior to submitting the final copy to the Chairman and the Office of Academic Publications. The candidate shall provide each of their committee members a copy of their thesis two weeks prior to the defense date.

Public Seminar

Each Ph.D. candidate shall discuss his dissertation in a public seminar. This is normally done prior to the final oral examination.

Detailed Dissertation Procedure

As soon as a student is ready to plan their dissertation defense, they should fill out  this internal form  for the Department. Feel free to reach out to Vera for any questions regarding timing or any other information. 

Planning the Dissertation Defense 

A student who is ready to plan their dissertation defense should set a defense date and time with their dissertation committee. All members of the committee must be available at the date and time chosen. Otherwise, any date and time during normal working hours is acceptable. Quarterly deadlines affect whether you will be able to receive the degree in a particular quarter, not when the defense may be held. 

You will schedule your own Zoom meeting for your defense inviting your three faculty committee members and anyone else that you wish to attend your defense. Once in person again, after the date and time are chosen, a room can be reserved by contacting the appropriate building reservation office. 

At least two weeks before the defense, you should email the following details to Melinda Moore,  [email protected] : date, time, and zoom meeting link (later, room location of defense), title of dissertation, names of the members of your committee. This is to enable the posting of the defense on-line and as posters. 

Following your defense, the Chair of your committee is responsible to obtain committee signatures on the “Report of Final Examination for the Degree of Doctor of Philosophy.” The Chair will then submit the form to the departmental office, which will obtain the Director of Academic Programs and Graduate Studies approval and submit the form to the PSD Dean of Students office. 

Quarter of Graduation: Deadlines for Turning in the Dissertation 

As you plan your defense, you will also be thinking about your quarter of graduation, which is often but not always the same quarter as the defense. There are  deadlines  each quarter for (1)  applying to receive the degree , (2)  uploading the dissertation , (3)  submitting the Departmental Dissertation Approval Form , and (4) complying with any requirements from the Dissertation Office. 

The deadline for submitting an Application for Degree is 4:30 pm on the last day of the first week of the quarter when you wish to graduate. The Application for Degree is submitted on-line, via  my.uchicago.edu   portal. Before you do this, you should check your Expected Graduation Date on this page and adjust it to the appropriate quarter (if it is not showing the quarter you want to apply). This will allow you to access the Application for Degree on this page. 

The Dissertation Office is responsible for reviewing the dissertation’s editorial form to be sure it complies with the University’s requirements. The web address is  phd.uchicago.edu . You should familiarize yourself with deadlines and requirements, and plan to submit a draft of the dissertation as you prepare it. The Department of Chemistry does not have any editorial requirements other than the Dissertation Office’s requirements. 

The final copy of the already defended dissertation, with all required revisions and corrections made, must be uploaded to the Dissertation Office’s portal by a deadline posted on the Dissertation Office’s website: usually the Friday of the 7th week of the quarter (5th week of Summer Quarter). After this upload, with a deadline of the 

Wednesday of the following week, the Departmental Dissertation Approval Form must be submitted. This short form, which is sent to you at the time of the upload or can be obtained from the departmental office, will confirm the Department’s approval of your dissertation. The Department of Chemistry requires that your advisor (and pro forma advisor if there is one) sign in the upper right hand corner of this form. The form can then be submitted to the departmental office, which will obtain the Director of Academic Programs and Graduate Studies approval and submit the form to the Dissertation Office. 

After the uploading of the dissertation and the submission of this form, the Dissertation Office will send you notice of any further corrections that need to be made or forms that need to be filled out. 

Financial Considerations and Coordinating with Payroll 

The University requires students to be in a registered student status during the quarter when they receive the Ph.D., with the following exception: if the completed dissertation is uploaded by 4:30 pm Friday on the first week of the quarter, a student can receive the Ph.D. that quarter without having to register. 

Registration is an important issue, because it implies that tuition must be paid. If a student is supported in a tuition-supporting position (RA or TA), the tuition is covered. If a student is not supported by this or other funding (e.g., a fellowship), he or she should ask to be registered in a Reduced Tuition status. In that status, a student’s tuition is reduced to a lower amount which he or she must pay. Another funding source (e.g., the student’s advisor) should not be paying this reduced amount, because it has been reduced for the reason of making it more manageable for the student who must pay it. 

A student may remain on the payroll in student employee status until the end of the third month after the beginning of the quarter when he/she receives the Ph.D. (i.e., 3/31, 6/30, 9/30, or 12/31). After that, the student must go on another payroll status (e.g., postdoctoral, paraprofessional, temporary, etc.) if he/she continues to be employed at the University. 

For help with issues relating to visa status and planning for Optional Practical Training (OPT), the student should consult the Office of International Affairs . 

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• How Long Is a PhD Thesis?
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It’s no secret that one of the most challenging aspects of a PhD degree is the volume of work that goes into writing your thesis . So this raises the question, exactly how long is a thesis?

Unfortunately, there’s no one size fits all answer to this question. However, from the analysis of over 100 PhD theses, the average thesis length is between 80,000 and 100,000 words. A further analysis of 1000 PhD thesis shows the average number of pages to be 204 . In reality, the actual word count for each PhD thesis will depend on the specific subject and the university it is being hosted by. This is because universities set their own word length requirements, with most found to be opting for around 100,000.

To find out more about how these word limits differ between universities, how the average word count from STEM thesis differ from non-STEM thesis and a more detailed breakdown from the analysis of over 1000 PhDs, carry on reading the below.

Word Count Differences Between Universities

For any PhD student writing a thesis, they will find that their document will be subject to a word limit set by their university. In nearly all cases, the limit only concerns the maximum number of words and doesn’t place any restrictions on the minimum word limit. The reason for this is that the student will be expected to write their thesis with the aim of clearly explaining their research, and so it is up to the student to determine what he deems appropriate.

Saying this, it is well accepted amongst PhD students and supervisors that the absence of a lower limit doesn’t suggest that a thesis can be ‘light’. Your thesis will focus on several years worth of original research and explore new ideas, theories or concepts. Besides this, your thesis will need to cover a wide range of topics such as your literature review, research methodology, results and conclusion. Therefore, your examiners will expect the length of your thesis to be proportional to convey all this information to a sufficient level.

Selecting a handful of universities at random, they state the following thesis word limits on their website:

• University of Edinburgh: 100,000
• University of Exeter: 100,000
• University of Leister: 80,000
• University of Bath: 80,000
• University of Warwick: 70,000

The above universities set upper word limits that apply across the board, however, some universities, such as the University of Birmingham and the University of Sheffield, set different word limits for different departments. For example, the University of Sheffield adopts these limits:

• Arts & Humanities: 75,000
• Medicine, Dentistry & Health: 75,000
• Science: 80,000
• Social Sciences: 75,000-100,000

Although there’s a range of limit, it’s safe to say that the majority fall within the 80,000 to 100,000 bracket.

Word Count Based on Data from past Theses

A poll of 149 postdocs.

In mid-2019, Dr Eva Lantsoght, a published author, academic blogger and Structural Engineering Professor, conducted a poll which asked postgraduate doctoral students to share the length of their final thesis. 149 PostDoc students responded to the survey, with the majority reporting a length falling within the ‘80,000 – 120,000 words’ bracket as seen below.

Analysis of 1000 PhD Theses

Over a three-year time period, Dr Ian Brailsford, a then Postgraduate Learning Adviser at the University of Auckland, analysed 1000 doctoral thesis submitted to his university’s library. The PhD theses which formed the basis of his analysis were produced between 2008 to 2017 and showed:

• Average number of pages = 204
• Median number of pages = 198
• Average number of chapters = 7.6

We should note that the above metrics only cover the content falling within the main body of the thesis. This includes the introduction, literature review, methods section, results chapter, discussions and conclusions. All other sections, such as the title page, abstract, table of contents, acknowledgements, bibliography and appendices were omitted from the count.

Although it’s impossible to draw the exact word count from the number of pages alone, by using the universities recommended format of 12pt Times New Roman and 1.5 lines spacing, and assuming 10% of the main body are figures and footnotes, this equates to an average main body of 52,000 words.

STEM vs Non-STEM

As part of Dr Ian Brailsford’s analysis, he also compared the length of STEM doctorate theses to non-STEM theses. He found that STEM theses tended to be shorter. In fact, he found STEM theses to have a medium page length of 159 whilst non-STEM theses had a medium of around 223 pages. This is a 40% increase in average length!

Can You Exceed the Word Count?

Whilst most universities will allow you to go over the word count if you need to, it comes with the caveat that you must have a very strong reason for needing to do so. Besides this, your supervisor will also need to support your request. This is to acknowledge that they have reviewed your situation and agree that exceeding the word limit will be absolutely necessary to avoid detriment unnecessary detriment to your work.

This means that whilst it is possible to submit a thesis over 100,000 words or more, it’s unlikely that your research project will need to.

How Does This Compare to a Masters Dissertation?

The average Masters dissertation length is approximately 20,000 words whilst a thesis is 4 to 5 times this length at approximately 80,000 – 100,000.

The key reason for this difference is because of the level of knowledge they convey. A Master’s dissertation focuses on concluding from existing knowledge whilst a PhD thesis focuses on drawing a conclusion from new knowledge. As a result, the thesis is significantly longer as the new knowledge needs to be well documented so it can be verified, disseminated and used to shape future research.

Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.

Related Reading

Unfortunately, the completion of your thesis doesn’t mark the end of your degree just yet. Once you submit your thesis, it’s time to start preparing for your viva – the all-to-fun thesis defence interview! To help you prepare for this, we’ve produced a helpful guide which you can read here: The Complete Guide to PhD Vivas.

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Dissertation requirements.

Doctoral dissertations are original contributions to scholarship. As a condition for receipt of the doctorate, all students are required to submit their dissertations to Knowledge@UChicago , the University’s open access repository. If a dissertation includes copyrighted material beyond fair use, the author must obtain permission from the holder of the copyright.

The public sharing of original dissertation research is a principle to which the University is deeply committed, and dissertations should be made available to the scholarly community at the University of Chicago and elsewhere in a timely manner. If dissertation authors are concerned that making their research publicly available might endanger research subjects or themselves, jeopardize a pending patent, complicate publication of a revised dissertation, or otherwise be unadvisable, they may, in consultation with faculty in their field (and as appropriate, research collaborators), restrict access to their dissertation for a limited period of time according to the guidelines outlined by the Dissertation Office. If a dissertation author needs to renew an embargo at the end of its term or initiate an embargo after graduation, the author must contact the Dissertation Office with the embargo request. Embargo renewals may be approved only in rare instances, and in general no more than one renewal will be allowed.

All dissertations must follow the instructions provided in the University-Wide Requirements for the Ph.D. Dissertation, available from the Dissertation Office on the first floor of the Joseph Regenstein Library in the Center for Digital Scholarship.

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8.2: How to Write a Thesis Statement

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Whether you are writing a short essay or a doctoral dissertation, your thesis statement will arguably be the most difficult sentence to formulate. An effective thesis statement states the purpose of the paper and, therefore, functions to control, assert and structure your entire  argument . Without a sound thesis, your argument may sound weak, lacking in direction, and  uninteresting to the reader.

Start with a question — then make the answer your thesis

Regardless of how complicated the subject is, almost any thesis can be constructed by answering a question.

• Thesis: “Computers allow fourth graders an early advantage in technological and scientific education.”
• Thesis: “The river comes to symbolize both division and progress, as it separates our characters and country while still providing the best chance for Huck and Jim to get to know one another.”
• Thesis: “Through careful sociological study, we’ve found that people naturally assume that “morally righteous” people look down on them as “inferior,” causing anger and conflict where there generally is none.”

Tailor your thesis to the type of paper you’re writing

N ot all essays persuade, and not all essays teach. The goals of your paper will help you find the best thesis.

• Ex. “This dynamic between different generations sparks much of the play’s tension, as age becomes a motive for the violence and unrest that rocks King Lear.”
• Ex. “The explosion of 1800’s philosophies like Positivism, Marxism, and Darwinism undermined and refuted Christianity to instead focus on the real, tangible world.”
• Ex. “Without the steady hand and specific decisions of Barack Obama, America would never have recovered from the hole it entered in the early 2000’s.”

Ensure your thesis is provable

Good Theses Examples:

• “By owning up to the impossible contradictions, embracing them and questioning them, Blake forges his own faith, and is stronger for it. Ultimately, the only way for his poems to have faith is to temporarily lose it.”
• “According to its well-documented beliefs and philosophies, an existential society with no notion of either past or future cannot help but become stagnant.”
• “By reading “Ode to a Nightingale” through a modern deconstructionist lens, we can see how Keats viewed poetry as shifting and subjective, not some rigid form.”

Bad Theses Examples:

• “The wrong people won the American Revolution.” While striking and unique, who is “right” and who is “wrong” is exceptionally hard to prove, and very subjective.
• “The theory of genetic inheritance is the binding theory of every human interaction.” Too complicated and overzealous. The scope of “every human interaction” is just too big
• “Paul Harding’s novel Tinkers is ultimately a cry for help from a clearly depressed author.” Unless you interviewed Harding extensively, or had a lot of real-life sources, you have no way of proving what is fact and what is fiction.”

Get the sound right

Example thesis statements with good statement language include:

• “Because of William the Conqueror’s campaign into England, that nation developed the strength and culture it would need to eventually build the British Empire.”
• “Hemingway significantly changed literature by normalizing simplistic writing and frank tone.”

Know where to place a thesis statement

Because of the role thesis statements play, they appear at the beginning of the paper, usually at the end of the first paragraph or somewhere in the introduction. Although most people look for the thesis at the end of the first paragraph, its location can depend on a number of factors such as how lengthy of an introduction you need before you can introduce your thesis or the length of your paper.

Limit a thesis statement to one or two sentences in length

Thesis statements are clear and to the point, which helps the reader identify the topic and direction of the paper, as well as your position towards the subject.

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Digital Commons @ USF > College of Arts and Sciences > Chemistry > Theses and Dissertations

Chemistry Theses and Dissertations

Theses/dissertations from 2023 2023.

aPKCs role in Neuroblastoma cell signaling cascades and Implications of aPKCs inhibitors as potential therapeutics , Sloan Breedy

Protein Folding Kinetics Analysis Using Fluorescence Spectroscopy , Dhanya Dhananjayan

Affordances and Limitations of Molecular Representations in General and Organic Chemistry , Ayesha Farheen

Institutional and Individual Approaches to Change in Undergraduate STEM Education: Two Framework Analyses , Stephanie B. Feola

Applications in Opioid Analysis with FAIMS Through Control of Vapor Phase Solvent Modifiers , Nathan Grimes

Synthesis, Characterization, and Separation of Loaded Liposomes for Drug Delivery , Sandra Khalife

Supramolecular Architectures Generated by Self-assembly of Guanosine and Isoguanosine Derivatives , Mengjia Liu

Syntheses, Photophysics, & Application of Porphyrinic Metal-Organic Frameworks , Zachary L. Magnuson

Chemical Analysis of Metabolites from Mangrove Endophytic Fungus , Sefat E Munjerin

Synthesis of Small Molecule Modulators of Non-Traditional Drug Targets , Jamie Nunziata

Synthetic Studies of Potential New Ketogenic Molecules , Mohammad Nazmus Sakib

Coupling Chemical and Genomic Data of Marine Sediment-Associated Bacteria for Metabolite Profiling , Stephanie P. Suarez

Enhanced Methods in Forensic Mass Spectrometry for Targeted and Untargeted Drug Analysis , Dina M. Swanson

Investigation of Challenging Transformations in Gold Catalysis , Qi Tang

Diazirines and Oxaziridines as Nitrogen Transfer Reagents in Drug Discovery , Khalilia C. Tillett

Developing New Strategy toward Ruthenium and Gold Redox Catalysis , Chenhuan Wang

Gold-Catalyzed Diyne-ene Cyclization: Synthesis of Hetero Polyaromatic Hydrocarbons and 1,2-Dihydropyridines , Jingwen Wei

Development of Antiviral Peptidomimetics , Songyi Xue

Theses/Dissertations from 2022 2022

Investigating a Potential STING Modulator , Jaret J. Crews

Exploring the Structure and Activity of Metallo-Tetracyclines , Shahedul Islam

Metabolomic Analysis, Identification and Antimicrobial Assay of Two Mangrove Endophytes , Stephen Thompson

Bioactivity of Suberitenones A and B , Jared G. Waters

Developing Efficient Transition Metal Catalyzed C-C & C-X Bond Construction , Chiyu Wei

Measurement in Chemistry, Mathematics, and Physics Education: Student Explanations of Organic Chemistry Reaction Mechanisms and Instructional Practices in Introductory Courses , Brandon J. Yik

Study on New Reactivity of Vinyl Gold and Its Sequential Transformations , Teng Yuan

Study on New Strategy toward Gold(I/III) Redox Catalysis , Shuyao Zhang

Theses/Dissertations from 2021 2021

Design, Synthesis and Testing of Bioactive Peptidomimetics , Sami Abdulkadir

Synthesis of Small Molecules for the Treatment of Infectious Diseases , Elena Bray

Social Constructivism in Chemistry Peer Leaders and Organic Chemistry Students , Aaron M. Clark

Synthesizing Laccol Based Polymers/Copolymers and Polyurethanes; Characterization and Their Applications , Imalka Marasinghe Arachchilage

The Photophysical Studies of Transition Metal Polyimines Encapsulated in Metal Organic Frameworks (MOF’s) , Jacob M. Mayers

Light Harvesting in Photoactive Guest-Based Metal-Organic Frameworks , Christopher R. McKeithan

Using Quantitative Methods to Investigate Student Attitudes Toward Chemistry: Women of Color Deserve the Spotlight , Guizella A. Rocabado Delgadillo

Simulations of H2 Sorption in Metal-Organic Frameworks , Shanelle Suepaul

Parallel Computation of Feynman Path Integrals and Many-Body Polarization with Application to Metal-Organic Materials , Brant H. Tudor

The Development of Bioactive Peptidomimetics Based on γ-AApeptides , Minghui Wang

Investigation of Immobilized Enzymes in Confined Environment of Mesoporous Host Matrices , Xiaoliang Wang

Novel Synthetic Ketogenic Compounds , Michael Scott Williams

Theses/Dissertations from 2020 2020

Biosynthetic Gene Clusters, Microbiomes, and Secondary Metabolites in Cold Water Marine Organisms , Nicole Elizabeth Avalon

Differential Mobility Spectrometry-Mass spectrometry (DMS-MS) for Forensic and Nuclear-Forensic applications , Ifeoluwa Ayodeji

Conversion from Metal Oxide to MOF Thin Films as a Platform of Chemical Sensing , Meng Chen

Asking Why : Analyzing Students' Explanations of Organic Chemistry Reaction Mechanisms using Lexical Analysis and Predictive Logistic Regression Models , Amber J. Dood

Development of Next-Generation, Fast, Accurate, Transferable, and Polarizable Force-fields for Heterogenous Material Simulations , Adam E. Hogan

Breakthroughs in Obtaining QM/MM Free Energies , Phillip S. Hudson

New Synthetic Methodology Using Base-Assisted Diazonium Salts Activation and Gold Redox Catalysis , Abiola Azeez Jimoh

Development and Application of Computational Models for Biochemical Systems , Fiona L. Kearns

Analyzing the Retention of Knowledge Among General Chemistry Students , James T. Kingsepp

A Chemical Investigation of Three Antarctic Tunicates of the Genus Synoicum , Sofia Kokkaliari

Construction of Giant 2D and 3D Metallo-Supramolecules Based on Pyrylium Salts Chemistry , Yiming Li

Assessing Many-Body van der Waals Contributions in Model Sorption Environments , Matthew K. Mostrom

Advancing Equity Amongst General Chemistry Students with Variable Preparations in Mathematics , Vanessa R. Ralph

Sustainable Non-Noble Metal based Catalysts for High Performance Oxygen Electrocatalysis , Swetha Ramani

The Role of aPKCs and aPKC Inhibitors in Cell Proliferation and Invasion in Breast and Ovarian Cancer , Tracess B. Smalley

Development of Ultrasonic-based Ambient Desorption Ionization Mass Spectrometry , Linxia Song

Covalent Organic Frameworks as an Organic Scaffold for Heterogeneous Catalysis including C-H Activation , Harsh Vardhan

Optimization of a Digital Ion Trap to Perform Isotope Ratio Analysis of Xenon for Planetary Studies , Timothy Vazquez

Multifunctional Metal-Organic Frameworks (MOFs) For Applications in Sustainability , Gaurav Verma

Design, Synthesis of Axial Chiral Triazole , Jing Wang

The Development of AApeptides , Lulu Wei

Chemical Investigation of Floridian Mangrove Endophytes and Antarctic Marine Organisms , Bingjie Yang

Theses/Dissertations from 2019 2019

An Insight into the Biological Functions, the Molecular Mechanism and the Nature of Interactions of a Set of Biologically Important Proteins. , Adam A. Aboalroub

Functional Porous Materials: Applications for Environmental Sustainability , Briana Amaris Aguila

Biomimetic Light Harvesting in Metalloporphyrins Encapsulated/Incorporated within Metal Organic Frameworks (MOFs). , Abdulaziz A. Alanazi

Design and Synthesis of Novel Agents for the Treatment of Tropical Diseases , Linda Corrinne Barbeto

Effect of Atypical protein kinase C inhibitor (DNDA) on Cell Proliferation and Migration of Lung Cancer Cells , Raja Reddy Bommareddy

The Activity and Structure of Cu2+ -Biomolecules in Disease and Disease Treatment , Darrell Cole Cerrato

Simulation and Software Development to Understand Interactions of Guest Molecules inPorous Materials , Douglas M. Franz

Construction of G-quadruplexes via Self-assembly: Enhanced Stability and Unique Properties , Ying He

The Role of Atypical Protein Kinase C in Colorectal Cancer Cells Carcinogenesis , S M Anisul Islam

Chemical Tools and Treatments for Neurological Disorders and Infectious Diseases , Andrea Lemus

Antarctic Deep Sea Coral and Tropical Fungal Endophyte: Novel Chemistry for Drug Discovery , Anne-Claire D. Limon

Constituent Partitioning Consensus Docking Models and Application in Drug Discovery , Rainer Metcalf

An Investigation into the Heterogeneity of Insect Arylalkylamine N -Acyltransferases , Brian G. O'Flynn

Evaluating the Evidence Base for Evidence-Based Instructional Practices in Chemistry through Meta-Analysis , Md Tawabur Rahman

Role of Oncogenic Protein Kinase C-iota in Melanoma Progression; A Study Based on Atypical Protein Kinase-C Inhibitors , Wishrawana Sarathi Bandara Ratnayake

Formulation to Application: Thermomechanical Characterization of Flexible Polyimides and The Improvement of Their Properties Via Chain Interaction , Alejandro Rivera Nicholls

The Chemical Ecology and Drug Discovery Potential of the Antarctic Red Alga Plocamium cartilagineum and the Antarctic Sponge Dendrilla membranosa , Andrew Jason Shilling

Synthesis, Discovery and Delivery of Therapeutic Natural Products and Analogs , Zachary P. Shultz

Development of α-AA peptides as Peptidomimetics for Antimicrobial Therapeutics and The Discovery of Nanostructures , Sylvia E. Singh

Self-Assembly of 2D and 3D Metallo-Supramolecules with Increasing Complexity , Bo Song

The Potential of Marine Microbes, Flora and Fauna in Drug Discovery , Santana Alexa Lavonia Thomas

Design, Synthesis, and Self-Assembly of Supramolecular Fractals Based on Terpyridine with Different Transition Metal Ions , Lei Wang

Theses/Dissertations from 2018 2018

Fatty Acid Amides and Their Biosynthetic Enzymes Found in Insect Model Systems , Ryan L. Anderson

Interrogation of Protein Function with Peptidomimetics , Olapeju Bolarinwa

Characterization of Nylon-12 in a Novel Additive Manufacturing Technology, and the Rheological and Spectroscopic Analysis of PEG-Starch Matrix Interactions , Garrett Michael Craft

Synthesis of Novel Agents for the treatment of Infectious and Neurodegenerative diseases , Benjamin Joe Eduful

Survey research in postsecondary chemistry education: Measurements of faculty members’ instructional practice and students’ affect , Rebecca E. Gibbons

Design, Synthesis, Application of Biodegradable Polymers , Mussie Gide

Conformational Fluctuations of Biomolecules Studied Using Molecular Dynamics and Enhanced Sampling , Geoffrey M. Gray

Analysis and New Applications of Metal Organic Frameworks (MOF): Thermal Conductivity of a Perovskite-type MOF and Incorporation of a Lewis Pair into a MOF. , Wilarachchige D C B Gunatilleke

Chemical Investigation of Bioactive Marine Extracts , Selam Hagos

Optimizing Peptide Fractionation to Maximize Content in Cancer Proteomics , Victoria Izumi

Germania-based Sol-gel Coatings and Core-shell Particles in Chromatographic Separations , Chengliang Jiang

Synthesis, Modification, Characterization and Processing of Molded and Electrospun Thermoplastic Polymer Composites and Nanocomposites , Tamalia Julien

Studies Aimed at the Synthesis of Anti-Infective Agents , Ankush Kanwar

From Florida to Antarctica: Dereplication Strategies and Chemical Investigations of Marine Organisms , Matthew A. Knestrick

Sorbent Enrichment Performance of Aromatic Compounds from Diluted Liquid Solution , Le Meng

Development of Bioactive Peptidomimetics , Fengyu She

Azamacrocyclic-based Frameworks: Syntheses and Characterizations , Chavis Andrew Stackhouse

Structure-based Design, Synthesis and Applications of a New Class of Peptidomimetics: 'Y -AA Peptides and Their Derivatives , Ma Su

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PhD Dissertation Defense Slides Design: Start

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Purpose of the Guide

This guide was created to help ph.d. students in engineering fields to design dissertation defense presentations. the guide provides 1) tips on how to effectively communicate research, and 2) full presentation examples from ph.d. graduates. the tips on designing effective slides are not restricted to dissertation defense presentations; they can be used in designing other types of presentations such as conference talks, qualification and proposal exams, and technical seminars., the tips and examples are used to help students to design effective presentation. the technical contents in all examples are subject to copyright, please do not replicate. , if you need help in designing your presentation, please contact julie chen ([email protected]) for individual consultation. .

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• Dissertations and Theses @ Carnegie Mellon This link opens in a new window Covers 1920-present. Full text of some dissertations may be available 1997-present. Citations and abstracts of dissertations and theses CMU graduate students have published through UMI Dissertation Publishing. In addition to citations and abstracts, the service provides free access to 24 page previews and the full text in PDF format, when available. In most cases, this will be works published in 1997 forward.
• Communicate your research data Data visualization is very important in communicating your data effectively. Check out these do's and don'ts for designing figures.

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Top 7 tips for your defense presentation

1. show why your study is important, remember, your audience is your committee members, researchers in other fields, and even the general public. you want to convince all of them why you deserve a ph.d. degree. you need to talk about why your study is important to the world. in the engineering field, you also need to talk about how your study is useful. try to discuss why current practice is problematic or not good enough, what needs to be solved, and what the potential benefits will be. , see how dr. posen and dr. malings explained the importance of their studies..

• Carl Malings Defense Slides with Notes
• I. Daniel Posen Defense Slides with Notes

2. Emphasize YOUR contribution 

Having a ph.d. means that you have made some novel contributions to the grand field. this is about you and your research. you need to keep emphasizing your contributions throughout your presentation. after talking about what needs to be solved, try to focus on emphasizing the novelty of your work. what problems can be solved using your research outcomes what breakthroughs have you made to the field why are your methods and outcomes outstanding you need to incorporate answers to these questions in your presentation. , be clear what your contributions are in the introduction section; separate what was done by others and what was done by you. , 3. connect your projects into a whole piece of work, you might have been doing multiple projects that are not strongly connected. to figure out how to connect them into a whole piece, use visualizations such as flow charts to convince your audience. the two slides below are two examples. in the first slide, which was presented in the introduction section, the presenter used a flow diagram to show the connection between the three projects. in the second slide, the presenter used key figures and a unique color for each project to show the connection..

• Xiaoju Chen Defense Slides with Notes

4. Tell a good story 

The committee members do not necessarily have the same background knowledge as you. plus, there could be researchers from other fields and even the general public in the room. you want to make sure all of your audience can understand as much as possible. focus on the big picture rather than technical details; make sure you use simple language to explain your methods and results. your committee has read your dissertation before your defense, but others have not. , dr. cook and dr. velibeyoglu did a good job explaining their research to everyone. the introduction sessions in their presentations are well designed for this purpose. .

• Laren M. Cook Defense Slides with Notes
• Irem Velibeyoglu Defense with Notes

5. Transition, transition, transition

Use transition slides to connect projects , it's a long presentation with different research projects. you want to use some sort of transition to remind your audience what you have been talking about and what is next. you may use a slide that is designed for this purpose throughout your presentation. , below are two examples. these slides were presented after the introduction section. the presenters used the same slides and highlighted the items for project one to indicate that they were moving on to the first project. throughout the presentation, they used these slides and highlighted different sections to indicate how these projects fit into the whole dissertation. .

You can also use some other indications on your slides, but remember not to make your slides too busy.  Below are two examples. In the first example, the presenter used chapter numbers to indicate what he was talking about. In the second example, the presenter used a progress bar with keywords for each chapter as the indicator. 

Use transition sentences to connect slides 

Remember transition sentences are also important; use them to summarize what you have said and tell your audience what they will expect next. if you keep forgetting the transition sentence, write a note on your presentation. you can either write down a full sentence of what you want to say or some keywords., 6. be brief, put details in backup slides , you won't have time to explain all of the details. if your defense presentation is scheduled for 45 minutes, you can only spend around 10 minutes for each project - that's shorter than a normal research conference presentation focus on the big picture and leave details behind. you can put the details in your backup slides, so you might find them useful when your committee (and other members of the audience) ask questions regarding these details., 7. show your presentation to your advisor and colleagues, make sure to ask your advisor(s) for their comments. they might have a different view on what should be emphasized and what should be elaborated. , you also want to practice at least once in front of your colleagues. they can be your lab mates, people who work in your research group, and/or your friends. they do not have to be experts in your field. ask them to give you some feedback - their comments can be extremely helpful to improve your presentation. , below are some other tips and resources to design your defense presentation. .

• Tips for designing your defense presentation

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• Last Updated: Jan 9, 2024 11:18 AM
• URL: https://guides.library.cmu.edu/c.php?g=883178

May 15, 2024

Tips and Resources for a Successful Summer of Dissertation Writing

By Yana Zlochistaya

Summer can be a strange time for graduate students. Gone are the seminars and workshops, the student clubs, and the working group, that structured the semester and provided us with a sense of community. Instead, we’re faced with a three-month expanse of time that can feel equal parts liberating and intimidating. This double-edged freedom is only exacerbated for those of us in the writing stage of our dissertation, when isolation and a lack of discipline can have a particularly big impact. For those hoping not to enter another summer with lofty plans, only to blink and find ourselves in August disappointed with our progress, we’ve compiled some tips and resources that can help.

According to Graduate Writing Center Director Sabrina Soracco, the most important thing you can do to set yourself up for writing success is to clarify your goals. She recommends starting this process by looking at departmental requirements for a completed dissertation. Consider when you would like to file and work backwards from that point, determining what you have to get done in order to hit that target. Next, check in with your dissertation committee members to set up an accountability structure. Would they prefer an end-of-summer update to the whole committee? A monthly check-in with your chair or one of your readers? Setting up explicit expectations that work for you and your committee can cut through the aimlessness that comes with a major writing project.

For those early on in their dissertation-writing process, a committee meeting is also a valuable opportunity to set parameters. “One of the problems with the excitement for the discipline that happens post-quals is that it results in too many ideas,” says Director Soracco. Your committee members should give you input on productive research directions so that you can begin to hone in on your project. It is also important to remember that your dissertation does not have to be the end-all-and-be-all of your academic research. Ideas that do not fit into its scope can end up becoming conference papers or even book chapters.

Once you have a clear goal that you have discussed with your committee, the hard part begins: you have to actually write. The Graduate Writing Center offers several resources to make that process easier:

• The Graduate Writing Community. This is a totally remote, two-month program that is based on a model of “gentle accountability.” When you sign up, you are added to a bCourses site moderated by a Graduate Writing Consultant. At the beginning of the week, everyone sets their goals in a discussion post, and by the end of the week, everyone checks in with progress updates. During the week, the writing consultants offer nine hours of remote synchronous writing sessions. As a writing community member, you can attend whichever sessions work best for your schedule. All that’s required is that you show up, set a goal for that hour, and work towards that goal for the length of two 25-minute Pomodoro sessions . This year’s summer writing community will begin in June. Keep your eye on your email for the registration link!
• Writing Consultations : As a graduate student, you can sign up for an individual meeting with a Graduate Writing Consultant. They can give you feedback on your work, help you figure out the structure of a chapter, or just talk through how to get started on a writing project. 
• Independent Writing Groups: If you would prefer to write with specific friends or colleagues, you can contact Graduate Writing Center Director Sabrina Soracco at [email protected] so that she can help you set up your own writing group. The structure and length of these groups can differ; often, members will send each other one to five pages of writing weekly and meet the next day for two hours to provide feedback and get advice. Sometimes, groups will meet up not only to share writing, but to work in a common space before coming together to debrief. Regardless of what the groups look like, the important thing is to create a guilt-free space. Some weeks, you might submit an outline; other weeks, it might be the roughest of rough drafts; sometimes, you might come to a session without having submitted anything. As long as we continue to make progress (and show up even when we don’t), we’re doing what we need to. As Director Soracco puts it, “it often takes slogging through a lot of stuff to get to that great epiphany.”

Yana Zlochistaya is a fifth-year graduate student in the Department of Comparative Literature and a Professional Development Liaison with the Graduate Division. She previously served as a co-director for Beyond Academia.

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How DDT went from triumph to tragedy

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Few compounds have a story as controversial as this insecticide. Mike Sutton traces the tale from its beginning 150 years ago

Before its synthesis in 1874, dichloro-diphenyl-trichloroethylene was unknown to science. For decades afterwards, it remained one among many (apparently) useless chemical compounds prepared by PhD students and subsequently ignored. Then in the 1940s, it was found to have a lethal impact on insects that transmit serious human diseases.

Under the stress of war DDT’s production was prioritised, and it saved many lives in barracks and refugee camps. When peace returned, it powered ambitious public health projects and was welcomed by insect-plagued farmers and homeowners. But gradually it became apparent that DDT does not degrade quickly into less toxic substances. It can accumulate in the biosphere, moving up food chains until it reaches lethal levels in some species.

At first, government officials and chemical industry executives argued that DDT was not a significant hazard for humans, but public concern increased following the 1962 publication of Rachel Carson’s Silent Spring. Legislation restricting the use of DDT (and newer organo-chlorine insecticides like lindane, aldrin, and dieldrin) eventually followed.

Today, well-funded advocates are campaigning to restore DDT’s reputation. They argue that using it against mosquitos could prevent millions of human deaths from malaria – with relatively limited environmental impact. While this compound’s future remains in debate, another look at its history might be useful.

Routine thesis fodder

In 1874, DDT’s synthesis did not seem a momentous event. Its German godfather, the future Nobel laureate Adolf Baeyer, was then only three years into his first full professorship, having previously spent over a decade in post-graduate research and lower-level teaching jobs. And when Baeyer’s Austrian PhD student Othmar Zeidler condensed chlorobenzene with chloral hydrate, the result was simply routine thesis-fodder.

Dichlorodiphenyltrichloroethane, or DDT

After graduating, Zeidler returned to Vienna and became a pharmacist. His discovery – though published in the Berichte der Deutsche Chemischen Gesellschaft in 1874 – attracted minimal attention until the Swiss chemist Paul Müller encountered it in 1939.

Müller, born in 1899, completed his doctorate at Basel University in 1925 and was immediately hired by prominent local firm Geigy, one of Switzerland’s largest chemical manufacturers. Initially, Müller worked on plant pigments and leather-tanning agents, but from 1935 he focused on insecticides. He later recalled his sense of ‘moving into unknown territory where there are no points of reference to begin with so that we can only proceed by feeling our way … Already an immense amount of literature existed on the subject and a flood of patents had been taken out. Yet of the many patented pesticides there were practically none on the market.’

Insecticidal power

In 1939, Müller noticed a 1934 publication by two British chemists at Oxford University , Frederick Chattaway and Roland Muir. They described the preparation of diphenyl-trichloro-ethane by condensing benzene with chloral hydrate, using concentrated sulfuric acid as a dehydrating agent. The authors referenced Zeidler’s 1874 synthesis of an analogous compound and noted that their new substance had insecticidal powers.

Source: © Science History Images/Alamy Stock Photo

Paul Müller was looking for insecticides for Swiss company Geigy when he read about DDT

Müller had apparently been unaware of Zeidler’s paper until then. However, he already knew that Geigy’s powerful new moth-repellent product, Mitin, contained a chloro-phenyl derivative. Perhaps suspecting that Chattaway and Muir’s compound might be more effective if its phenyl groups were chlorinated, he repeated Zeidler’s synthesis, and quickly found that DDT ‘showed a strong insecticidal contact action such as I had to date never observed in any substance’, he wrote. ‘My fly cage was so toxic after a short period that even after very thorough cleaning of the cage, untreated flies, on touching the walls, fell to the floor. I could carry on my trials only after dismantling the cage, having it thoroughly cleaned and after that leaving it for about one month in the open air.’

Field trials demonstrated the compound’s potency against the Colorado beetles then ravaging Switzerland’s potato crop, and by 1942 Geigy was ready to mass-produce it. The standard synthesis yields a mixture of isomers, the para-para one being the commonest, and the most toxic to insects.

Wartime wonder

Observing Switzerland’s policy of strict neutrality, Geigy offered to sell – or license – DDT to all participants in the ongoing second world war. However, it was the US which deployed the agent most effectively. An early demonstration of its value came in 1944, when the US army dusted thousands of civilians with DDT powder to suppress a typhus epidemic in the Italian city of Naples.

Source: © Associated Press/Alamy Stock Photo

DDT was used extensively in various conflicts – including the Korean war – to reduce the risk of parasite-born infections

Meanwhile DDT, dissolved in oil, was being sprayed on water-logged areas around Allied military camps. In hot climates, stagnant water provides a productive breeding-ground for mosquitoes – the carriers of the microscopic parasites which cause malaria – but this new chemical assault kept many more troops malaria-free and fit for action. Powdered DDT also proved effective against the disease-bearing lice which infested millions of ex-prisoners and refugees during the chaotic months following the war’s conclusion in 1945.

Peacetime demand for the new product was massive. Governments used it extensively in campaigns against malaria, which by 1951 had effectively disappeared from Italy and the US – though it remained endemic in African and Asian countries which lacked the infrastructure to sustain comprehensive eradication programmes. Meanwhile, DDT suppressed many troublesome agricultural pests, and gave home-owners relief from invasive insects. Hailed as a scientific miracle, it earned Müller the Nobel prize for medicine in 1948.

Environmental concerns

For two decades DDT was used extensively (and often excessively) on crops and in homes. It was also wasted in attempts to control polio epidemics – on whose viral carriers it had no effect. This ‘saturation bombing’ enhanced the pressure of natural selection on all of the mosquito family’s 3500-plus species, hundreds of which belong to the sub-family Anophelenae – malaria’s transmitters. Whenever random mutations produced a few insects that DDT couldn’t kill, the massacre of their rivals left these survivors room to multiply. By the mid-1950s, scientists were already beginning to notice some resistant mosquitoes.

Source: © JHU Sheridan Libraries/Gado/Getty Images

Rachel Carson’s book  Silent Spring was incredibly influential in turning public opinion against DDT

Meanwhile, anxiety about DDT’s environmental impact increased, particularly among ornithologists and bee-keepers. A few landowners also complained that spraying by neighbouring farmers had harmed their livestock, and unusual illnesses began appearing in a small riverside community downstream from a DDT production plant in the US state of Alabama. But while toxicologists struggled to deliver precise estimates of the long-term hazards of the new insecticides, assessing risk levels remained difficult.

It was clear, however, that insects absorbed DDT through their skins. It then passed directly to their nervous systems, causing spasms followed rapidly by death. In contrast, animals (and humans) who ingested DDT generally excreted or absorbed it without any immediately observable effects. Nevertheless, it appeared that DDT could accumulate in fatty tissues, and there were fears that it might reach dangerous levels in breast milk.

Many more people became anxious after Rachel Carson’s 1962 Silent Spring highlighted the wide-ranging impact of pesticides. Bees – and other agriculturally essential pollinators – were dying in huge numbers alongside the targeted pests. Meanwhile, birds and small animals that feasted on the insects killed by DDT suffered serious (and often fatal) neurological damage. The term food chain gradually filtered into everyday language – but as yet there was no clear answer to the crucial question ‘could we be next?’

During the 1960s, demands to ban (or more strictly regulate) DDT and similar pesticides increased, and the issue rapidly became politicised. Elected representatives from agricultural regions, and from districts that hosted large chemical manufacturers, were understandably worried about preserving their voters’ livelihoods. Professional lobbyists – funded by large chemical companies and industrial-scale farmers – offered the politicians ready-packaged arguments against pesticide regulation, and soon they acquired an influential ally.

After the health hazards of cigarettes became a serious concern, analysis revealed that their smoke contained DDT – amongst other problematic compounds. Tobacco companies already employed public relations experts to persuade customers that smoking was (relatively) harmless. Now, DDT joined the list of substances about which smokers were worrying. But when the US National Agricultural Chemicals Association opposed legislation limiting the use of insecticides, cigarette manufacturers supported them vigorously, arguing that people’s freedom to spray – like their freedom to smoke – should not be taken away by government.

Nevertheless, by the early 1970s DDT’s use was banned or heavily restricted in many countries – partly due to concerns about its environmental impact, partly because some pests were becoming resistant to it. This was a posthumous victory for Carson, who had died of cancer in 1963. Today, many people still applaud her contribution to the environmental movement – but others claim she has been responsible for more human deaths than Hitler or Stalin.

Where next?

A turning point came in the summer of 1999, when the mosquito-borne West Nile Virus arrived in New York City. Thousands of people experienced flu-like symptoms, dozens were hospitalised, and a few died. Further outbreaks – and more deaths – prompted demands for DDT’s redeployment. In the New York Times in August 2003, Henry Miller wrote that the US should allow DDT for mosquito control and oppose international bans on it. He also proposed a federal campaign to educate people on the safety and potential importance of the pesticide, as ‘most of what people hear is the reflexively anti-pesticide drumbeat of the environmental movement’.

Miller’s career history is noteworthy. While working for the US government’s Food and Drugs Administration between 1979 and 1994, he opposed restrictions on pesticides and defended genetically modified crops. Thereafter, he joined the Hoover Institution (a business-friendly Californian think-tank) as a research fellow, while also collaborating with the agricultural chemicals manufacturer Monsanto. And in 2023, he became a full-time member of the American Council on Science and Health – a lobbying organisation funded by several large corporations trading in chemicals, tobacco and fossil fuels. Coincidentally, he has also argued that environmental campaigners exaggerate the dangers of climate change.

But whatever concerns we may have about DDT – or about the wider anti-regulation agenda of its advocates – we cannot ignore the massive global death toll from malaria. Years of research, funded by governments (and by the Gates Foundation), have still not produced a fully effective malaria vaccine. Drugs like artemisinin give sufferers some relief, but the microscopic parasites which mosquitoes transmit are already developing immunity to them. Someday, Crispr gene editing technology may enable us to eradicate malaria entirely, but that day has not yet arrived.

Meanwhile, insects continue to develop pesticide resistance – through the over-expression of proteins which can detoxify intrusive substances, for example, or by mutations that modify binding sites previously accessible to specific lethal agents. And yet DDT, though less effective now than in 1945, can still kill some mosquitoes. Its controlled deployment, as one component in a comprehensive and co-ordinated anti-malaria strategy, might be a helpful short-term expedient until a better remedy emerges.

But, as always, the devil is in the details. How short-term, how controlled and by whom? The debate continues, and Othmar Zeidler could scarcely have imagined that the compound he synthesised in 1874 would be generating so much controversy 150 years later.

Mike Sutton is a historian of science based in Newcastle, UK

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Journal of Materials Chemistry A

Selective synthesis of monodisperse bimetallic nickel–cobalt phosphates with different nanoarchitectures for battery-like supercapacitors †.

* Corresponding authors

a Research Center for Nanotechnology Systems, National Research and Innovation Agency (BRIN), Kawasan Puspiptek, Serpong, South Tangerang 15314, Indonesia

b Advanced Functional Materials Laboratory, Department of Engineering Physics, Institute of Technology Bandung (ITB), Bandung 40132, Indonesia E-mail: [email protected]

c Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia E-mail: [email protected]

d Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan

e Waseda Research Institute for Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku, Tokyo 169-8555, Japan E-mail: [email protected]

f Department of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan

g Department of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

h Research Center for Nanosciences and Nanotechnology (RCNN), Institute of Technology Bandung (ITB), Bandung 40132, Indonesia

This work reports the fabrication of monodisperse nickel–cobalt phosphate particles with varying structures via the solvothermal reaction of nickel–cobalt glycerate spheres with triethyl phosphate (TEP) in different solvents followed by subsequent calcination in air at 600 °C. The choice of solvent affects the morphology of the resulting nickel–cobalt phosphate precursor obtained from the solvothermal reaction. It is found that alcohol-based solvents (pure ethanol and ethanol/butanol mixture) favour the formation of monodisperse plate-like particles, while the use of a water/ethanol mixture promotes the generation of rod-like particles. The optimized amorphous nickel–cobalt phosphate sample prepared using pure ethanol followed by calcination in air at 600 °C (E-NiCo-TEP-600) exhibits a battery-like behaviour with a high specific capacity of 620 C g −1 (specific capacitance of 1550 F g −1 ) in 6.0 M KOH at a current density of 2 A g −1 . Furthermore, the asymmetric supercapacitor (ASC) fabricated using E-NiCo-TEP-600 as the cathode and commercial activated carbon (AC) as the anode (E-NiCo-TEP-600//AC ASC) displays a maximum energy density of 45 W h kg −1 at a power density of 750 W kg −1 . The stability test reveals the good long-term stability of this ASC with a high capacitance retention of ∼100% after 5000 cycles at a high current density of 10 A g −1 . The porous nature along with the high structural disorder and abundant mesopores in the amorphous nickel-cobalt phosphate plate-like particles (E-NiCo-TEP-600) can promote faster diffusion of electrolyte ions and better electrolyte ion penetration, leading to a higher electrochemical performance. These results indicate the promising potential of porous amorphous bimetallic phosphates for supercapacitors.

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Selective synthesis of monodisperse bimetallic nickel–cobalt phosphates with different nanoarchitectures for battery-like supercapacitors

N. L. Wulan Septiani, S. Chowdhury, A. Hardiansyah, M. Rinawati, M. Yeh, H. Nara, Y. Yamauchi, Y. V. Kaneti and B. Yuliarto, J. Mater. Chem. A , 2024, Advance Article , DOI: 10.1039/D3TA06584G

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