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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on 25 February 2019 by Shona McCombes . Revised on 10 October 2022.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation, or research paper, the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research.

It should include:

• The type of research you conducted
• How you collected and analysed your data
• Any tools or materials you used in the research
• Why you chose these methods
• Your methodology section should generally be written in the past tense .
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalisable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalised your concepts and measured your variables. Discuss your sampling method or inclusion/exclusion criteria, as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on 4–8 July 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyse?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness shop’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods here.

Next, you should indicate how you processed and analysed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analysing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorising and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviours, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalised beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalisable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives  and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

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.

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.

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Sat / act prep online guides and tips, 113 great research paper topics.

General Education

One of the hardest parts of writing a research paper can be just finding a good topic to write about. Fortunately we've done the hard work for you and have compiled a list of 113 interesting research paper topics. They've been organized into ten categories and cover a wide range of subjects so you can easily find the best topic for you.

In addition to the list of good research topics, we've included advice on what makes a good research paper topic and how you can use your topic to start writing a great paper.

What Makes a Good Research Paper Topic?

Not all research paper topics are created equal, and you want to make sure you choose a great topic before you start writing. Below are the three most important factors to consider to make sure you choose the best research paper topics.

#1: It's Something You're Interested In

A paper is always easier to write if you're interested in the topic, and you'll be more motivated to do in-depth research and write a paper that really covers the entire subject. Even if a certain research paper topic is getting a lot of buzz right now or other people seem interested in writing about it, don't feel tempted to make it your topic unless you genuinely have some sort of interest in it as well.

#2: There's Enough Information to Write a Paper

Even if you come up with the absolute best research paper topic and you're so excited to write about it, you won't be able to produce a good paper if there isn't enough research about the topic. This can happen for very specific or specialized topics, as well as topics that are too new to have enough research done on them at the moment. Easy research paper topics will always be topics with enough information to write a full-length paper.

Trying to write a research paper on a topic that doesn't have much research on it is incredibly hard, so before you decide on a topic, do a bit of preliminary searching and make sure you'll have all the information you need to write your paper.

#3: It Fits Your Teacher's Guidelines

Don't get so carried away looking at lists of research paper topics that you forget any requirements or restrictions your teacher may have put on research topic ideas. If you're writing a research paper on a health-related topic, deciding to write about the impact of rap on the music scene probably won't be allowed, but there may be some sort of leeway. For example, if you're really interested in current events but your teacher wants you to write a research paper on a history topic, you may be able to choose a topic that fits both categories, like exploring the relationship between the US and North Korea. No matter what, always get your research paper topic approved by your teacher first before you begin writing.

113 Good Research Paper Topics

Below are 113 good research topics to help you get you started on your paper. We've organized them into ten categories to make it easier to find the type of research paper topics you're looking for.

Arts/Culture

• Discuss the main differences in art from the Italian Renaissance and the Northern Renaissance .
• Analyze the impact a famous artist had on the world.
• How is sexism portrayed in different types of media (music, film, video games, etc.)? Has the amount/type of sexism changed over the years?
• How has the music of slaves brought over from Africa shaped modern American music?
• How has rap music evolved in the past decade?
• How has the portrayal of minorities in the media changed?

Current Events

• What have been the impacts of China's one child policy?
• How have the goals of feminists changed over the decades?
• How has the Trump presidency changed international relations?
• Analyze the history of the relationship between the United States and North Korea.
• What factors contributed to the current decline in the rate of unemployment?
• What have been the impacts of states which have increased their minimum wage?
• How do US immigration laws compare to immigration laws of other countries?
• How have the US's immigration laws changed in the past few years/decades?
• How has the Black Lives Matter movement affected discussions and view about racism in the US?
• What impact has the Affordable Care Act had on healthcare in the US?
• What factors contributed to the UK deciding to leave the EU (Brexit)?
• What factors contributed to China becoming an economic power?
• Discuss the history of Bitcoin or other cryptocurrencies  (some of which tokenize the S&P 500 Index on the blockchain) .
• Do students in schools that eliminate grades do better in college and their careers?
• Do students from wealthier backgrounds score higher on standardized tests?
• Do students who receive free meals at school get higher grades compared to when they weren't receiving a free meal?
• Do students who attend charter schools score higher on standardized tests than students in public schools?
• Do students learn better in same-sex classrooms?
• How does giving each student access to an iPad or laptop affect their studies?
• What are the benefits and drawbacks of the Montessori Method ?
• Do children who attend preschool do better in school later on?
• What was the impact of the No Child Left Behind act?
• How does the US education system compare to education systems in other countries?
• What impact does mandatory physical education classes have on students' health?
• Which methods are most effective at reducing bullying in schools?
• Do homeschoolers who attend college do as well as students who attended traditional schools?
• Does offering tenure increase or decrease quality of teaching?
• How does college debt affect future life choices of students?
• Should graduate students be able to form unions?

• What are different ways to lower gun-related deaths in the US?
• How and why have divorce rates changed over time?
• Is affirmative action still necessary in education and/or the workplace?
• Should physician-assisted suicide be legal?
• How has stem cell research impacted the medical field?
• How can human trafficking be reduced in the United States/world?
• Should people be able to donate organs in exchange for money?
• Which types of juvenile punishment have proven most effective at preventing future crimes?
• Has the increase in US airport security made passengers safer?
• Analyze the immigration policies of certain countries and how they are similar and different from one another.
• Several states have legalized recreational marijuana. What positive and negative impacts have they experienced as a result?
• Do tariffs increase the number of domestic jobs?
• Which prison reforms have proven most effective?
• Should governments be able to censor certain information on the internet?
• Which methods/programs have been most effective at reducing teen pregnancy?
• What are the benefits and drawbacks of the Keto diet?
• How effective are different exercise regimes for losing weight and maintaining weight loss?
• How do the healthcare plans of various countries differ from each other?
• What are the most effective ways to treat depression ?
• What are the pros and cons of genetically modified foods?
• Which methods are most effective for improving memory?
• What can be done to lower healthcare costs in the US?
• What factors contributed to the current opioid crisis?
• Analyze the history and impact of the HIV/AIDS epidemic .
• Are low-carbohydrate or low-fat diets more effective for weight loss?
• How much exercise should the average adult be getting each week?
• Which methods are most effective to get parents to vaccinate their children?
• What are the pros and cons of clean needle programs?
• How does stress affect the body?
• Discuss the history of the conflict between Israel and the Palestinians.
• What were the causes and effects of the Salem Witch Trials?
• Who was responsible for the Iran-Contra situation?
• How has New Orleans and the government's response to natural disasters changed since Hurricane Katrina?
• What events led to the fall of the Roman Empire?
• What were the impacts of British rule in India ?
• Was the atomic bombing of Hiroshima and Nagasaki necessary?
• What were the successes and failures of the women's suffrage movement in the United States?
• What were the causes of the Civil War?
• How did Abraham Lincoln's assassination impact the country and reconstruction after the Civil War?
• Which factors contributed to the colonies winning the American Revolution?
• What caused Hitler's rise to power?
• Discuss how a specific invention impacted history.
• What led to Cleopatra's fall as ruler of Egypt?
• How has Japan changed and evolved over the centuries?
• What were the causes of the Rwandan genocide ?

• Why did Martin Luther decide to split with the Catholic Church?
• Analyze the history and impact of a well-known cult (Jonestown, Manson family, etc.)
• How did the sexual abuse scandal impact how people view the Catholic Church?
• How has the Catholic church's power changed over the past decades/centuries?
• What are the causes behind the rise in atheism/ agnosticism in the United States?
• What were the influences in Siddhartha's life resulted in him becoming the Buddha?
• How has media portrayal of Islam/Muslims changed since September 11th?

Science/Environment

• How has the earth's climate changed in the past few decades?
• How has the use and elimination of DDT affected bird populations in the US?
• Analyze how the number and severity of natural disasters have increased in the past few decades.
• Analyze deforestation rates in a certain area or globally over a period of time.
• How have past oil spills changed regulations and cleanup methods?
• How has the Flint water crisis changed water regulation safety?
• What are the pros and cons of fracking?
• What impact has the Paris Climate Agreement had so far?
• What have NASA's biggest successes and failures been?
• How can we improve access to clean water around the world?
• Does ecotourism actually have a positive impact on the environment?
• Should the US rely on nuclear energy more?
• What can be done to save amphibian species currently at risk of extinction?
• What impact has climate change had on coral reefs?
• How are black holes created?
• Are teens who spend more time on social media more likely to suffer anxiety and/or depression?
• How will the loss of net neutrality affect internet users?
• Analyze the history and progress of self-driving vehicles.
• How has the use of drones changed surveillance and warfare methods?
• Has social media made people more or less connected?
• What progress has currently been made with artificial intelligence ?
• Do smartphones increase or decrease workplace productivity?
• What are the most effective ways to use technology in the classroom?
• How is Google search affecting our intelligence?
• When is the best age for a child to begin owning a smartphone?
• Has frequent texting reduced teen literacy rates?

How to Write a Great Research Paper

Even great research paper topics won't give you a great research paper if you don't hone your topic before and during the writing process. Follow these three tips to turn good research paper topics into great papers.

#1: Figure Out Your Thesis Early

Before you start writing a single word of your paper, you first need to know what your thesis will be. Your thesis is a statement that explains what you intend to prove/show in your paper. Every sentence in your research paper will relate back to your thesis, so you don't want to start writing without it!

As some examples, if you're writing a research paper on if students learn better in same-sex classrooms, your thesis might be "Research has shown that elementary-age students in same-sex classrooms score higher on standardized tests and report feeling more comfortable in the classroom."

If you're writing a paper on the causes of the Civil War, your thesis might be "While the dispute between the North and South over slavery is the most well-known cause of the Civil War, other key causes include differences in the economies of the North and South, states' rights, and territorial expansion."

#2: Back Every Statement Up With Research

Remember, this is a research paper you're writing, so you'll need to use lots of research to make your points. Every statement you give must be backed up with research, properly cited the way your teacher requested. You're allowed to include opinions of your own, but they must also be supported by the research you give.

#3: Do Your Research Before You Begin Writing

You don't want to start writing your research paper and then learn that there isn't enough research to back up the points you're making, or, even worse, that the research contradicts the points you're trying to make!

Get most of your research on your good research topics done before you begin writing. Then use the research you've collected to create a rough outline of what your paper will cover and the key points you're going to make. This will help keep your paper clear and organized, and it'll ensure you have enough research to produce a strong paper.

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Christine graduated from Michigan State University with degrees in Environmental Biology and Geography and received her Master's from Duke University. In high school she scored in the 99th percentile on the SAT and was named a National Merit Finalist. She has taught English and biology in several countries.

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How to Craft Your Ideal Thesis Research Topic

Table of contents

Catherine Miller

Writing your undergraduate thesis is probably one of the most interesting parts of studying, especially because you get to choose your area of study. But as both a student and a teacher who’s helped countless students develop their research topics, I know this freedom can be just as intimidating as it is liberating.

Fortunately, there’a a step-by-step process you can follow that will help make the whole process a lot easier. In this article, I’ll show you how to choose a unique, specific thesis topic that’s true to your passions and interests, while making a contribution to your field.

Choose a topic that you’re interested in

First things first: double-check with your teachers or supervisor if there are any constraints on your research topic. Once your parameters are clear, it’s time to identify what lights you up — after all, you’re going to be spending a lot of time thinking about it.

Within your field of study, you probably already have some topics that have grabbed your attention more than others. This can be a great place to start. Additionally, consider using the rest of your academic and extra-curricular interests as a source of ideas. At this stage, you only need a broad topic before you narrow it down to a specific question. 

If you’re feeling stuck, here are some things to try:

• Look back through old course notes to remind yourself of topics you previously covered. Do any of these inspire you?
• Talk to potential supervisors about your ideas, as they can point you toward areas you might not have considered.
• Think about the things you enjoy in everyday life — whether that’s cycling, cinema, cooking, or fashion — then consider if there are any overlaps with your field of study.
• Imagine you have been asked to give a presentation or record a podcast in the next three days. What topics would you feel confident discussing?
• Watch a selection of existing lectures or explainer videos, or listen to podcasts by experts in your field. Note which topics you feel curious to explore further.
• Discuss your field of study with teachers friends and family, some with existing knowledge and some without. Which aspects do you enjoy talking about? 

By doing all this, you might uncover some unusual and exciting avenues for research. For example, when writing my Master’s dissertation, I decided to combine my field of study (English teaching methodology) with one of my passions outside work (creative writing). In my undergraduate course, a friend drew on her lived experience of disability to look into the literary portrayal of disability in the ancient world. 

Do your research

Once you’ve chosen your topic of interest, it’s time to dive into research. This is a really important part of this early process because it allows you to:

• See what other people have written about the topic — you don’t want to cover the same old ground as everyone else.
• Gain perspective on the big questions surrounding the topic. 
• Go deeper into the parts that interest you to help you decide where to focus.
• Start building your bibliography and a bank of interesting quotations. 

A great way to start is to visit your library for an introductory book. For example, the “A Very Short Introduction” series from the Oxford University Press provides overviews of a range of themes. Similar types of overviews may have the title “ A Companion to [Subject]” or “[Subject] A Student Companion”. Ask your librarian or teacher if you’re not sure where to begin. 

Your introductory volume can spark ideas for further research, and the bibliography can give you some pointers about where to go next. You can also use keywords to research online via academic sites like JStor or Google Scholar. Check which subscriptions are available via your institution.

At this stage, you may not wish to read every single paper you come across in full — this could take a very long time and not everything will be relevant. Summarizing software like Wordtune could be very useful here.

Just upload a PDF or link to an online article using Wordtune, and it will produce a summary of the whole paper with a list of key points. This helps you to quickly sift through papers to grasp their central ideas and identify which ones to read in full. 

Get Wordtune for free > Get Wordtune for free >

You can also use Wordtune for semantic search. In this case, the tool focuses its summary around your chosen search term, making it even easier to get what you need from the paper.

As you go, make sure you keep organized notes of what you’ve read, including the author and publication information and the page number of any citations you want to use. 

Some people are happy to do this process with pen and paper, but if you prefer a digital method, there are several software options, including Zotero , EndNote , and Mendeley . Your institution may have an existing subscription so check before you sign up.

Narrowing down your thesis research topic

Now you’ve read around the topic, it’s time to narrow down your ideas so you can craft your final question. For example, when it came to my undergraduate thesis, I knew I wanted to write about Ancient Greek religion and I was interested in the topic of goddesses. So, I:

• Did some wide reading around the topic of goddesses
• Learned that the goddess Hera was not as well researched as others and that there were some fascinating aspects I wanted to explore
• Decided (with my supervisor’s support) to focus on her temples in the Argive region of Greece

As part of this process, it can be helpful to consider the “5 Ws”: why, what, who, when, and where, as you move from the bigger picture to something more precise. 

Why did you choose this research topic?

Come back to the reasons you originally chose your theme. What grabbed you? Why is this topic important to you — or to the wider world? In my example, I knew I wanted to write about goddesses because, as a woman, I was interested in how a society in which female lives were often highly controlled dealt with having powerful female deities. My research highlighted Hera as one of the most powerful goddesses, tying into my key interest.

What are some of the big questions about your topic?

During your research, you’ll probably run into the same themes time and time again. Some of the questions that arise may not have been answered yet or might benefit from a fresh look. 

Equally, there may be questions that haven’t yet been asked, especially if you are approaching the topic from a modern perspective or combining research that hasn’t been considered before. This might include taking a post-colonial, feminist, or queer approach to older texts or bringing in research using new scientific methods.

In my example, I knew there were still controversies about why so many temples to the goddess Hera were built in a certain region, and was keen to explore these further.

Who is the research topic relevant to?

Considering the “who” might help you open up new avenues. Is there a particular audience you want to reach? What might they be interested in? Is this a new audience for this field? Are there people out there who might be affected by the outcome of this research — for example, people with a particular medical condition — who might be able to use your conclusions?

Which period will you focus on?

Depending on the nature of your field, you might be able to choose a timeframe, which can help narrow the topic down. For example, you might focus on historical events that took place over a handful of years, look at the impact of a work of literature at a certain point after its publication, or review scientific progress over the last five years. 

With my thesis, I decided to focus on the time when the temples were built rather than considering the hundreds of years for which they have existed, which would have taken me far too long.

Where does your topic relate to?

Place can be another means of narrowing down the topic. For example, consider the impact of your topic on a particular neighborhood, city, or country, rather than trying to process a global question. 

In my example, I chose to focus my research on one area of Greece, where there were lots of temples to Hera. This meant skipping other important locations, but including these would have made the thesis too wide-ranging.

Create an outline and get feedback

Once you have an idea of what you are going to write about, create an outline or summary and get feedback from your teacher(s). It’s okay if you don’t know exactly how you’re going to answer your thesis question yet, but based on your research you should have a rough plan of the key points you want to cover. So, for me, the outline was as follows:

• Context: who was the goddess Hera?
• Overview of her sanctuaries in the Argive region
• Their initial development 
• Political and cultural influences
• The importance of the mythical past

In the final thesis, I took a strong view on why the goddess was so important in this region, but it took more research, writing, and discussion with my supervisor to pin down my argument.

To choose a thesis research topic, find something you’re passionate about, research widely to get the big picture, and then move to a more focused view. Bringing a fresh perspective to a popular theme, finding an underserved audience who could benefit from your research, or answering a controversial question can make your thesis stand out from the crowd.

For tips on how to start writing your thesis, don’t miss our advice on writing a great research abstract and a stellar literature review . And don’t forget that Wordtune can also support you with proofreading, making it even easier to submit a polished thesis.

How do you come up with a research topic for a thesis?

To help you find a thesis topic, speak to your professor, look through your old course notes, think about what you already enjoy in everyday life, talk about your field of study with friends and family, and research podcasts and videos to find a topic that is interesting for you. It’s a good idea to refine your topic so that it’s not too general or broad.  

Do you choose your own thesis topic?

Yes, you usually choose your own thesis topic. You can get help from your professor(s), friends, and family to figure out which research topic is interesting to you. 

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50+ Research Topics for Psychology Papers

How to Find Psychology Research Topics for Your Student Paper

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Steven Gans, MD is board-certified in psychiatry and is an active supervisor, teacher, and mentor at Massachusetts General Hospital.

• Specific Branches of Psychology
• Topics Involving a Disorder or Type of Therapy
• Human Cognition
• Human Development
• Critique of Publications
• Famous Experiments
• Historical Figures
• Specific Careers
• Case Studies
• Literature Reviews
• Your Own Study/Experiment

Are you searching for a great topic for your psychology paper ? Sometimes it seems like coming up with topics of psychology research is more challenging than the actual research and writing. Fortunately, there are plenty of great places to find inspiration and the following list contains just a few ideas to help get you started.

Finding a solid topic is one of the most important steps when writing any type of paper. It can be particularly important when you are writing a psychology research paper or essay. Psychology is such a broad topic, so you want to find a topic that allows you to adequately cover the subject without becoming overwhelmed with information.

I can always tell when a student really cares about the topic they chose; it comes through in the writing. My advice is to choose a topic that genuinely interests you, so you’ll be more motivated to do thorough research.

In some cases, such as in a general psychology class, you might have the option to select any topic from within psychology's broad reach. Other instances, such as in an  abnormal psychology  course, might require you to write your paper on a specific subject such as a psychological disorder.

As you begin your search for a topic for your psychology paper, it is first important to consider the guidelines established by your instructor.

Research Topics Within Specific Branches of Psychology

The key to selecting a good topic for your psychology paper is to select something that is narrow enough to allow you to really focus on the subject, but not so narrow that it is difficult to find sources or information to write about.

One approach is to narrow your focus down to a subject within a specific branch of psychology. For example, you might start by deciding that you want to write a paper on some sort of social psychology topic. Next, you might narrow your focus down to how persuasion can be used to influence behavior .

Other social psychology topics you might consider include:

• Prejudice and discrimination (i.e., homophobia, sexism, racism)
• Social cognition
• Person perception
• Social control and cults
• Persuasion, propaganda, and marketing
• Attraction, romance, and love
• Nonverbal communication
• Prosocial behavior

Psychology Research Topics Involving a Disorder or Type of Therapy

Exploring a psychological disorder or a specific treatment modality can also be a good topic for a psychology paper. Some potential abnormal psychology topics include specific psychological disorders or particular treatment modalities, including:

• Eating disorders
• Borderline personality disorder
• Seasonal affective disorder
• Schizophrenia
• Antisocial personality disorder
• Profile a  type of therapy  (i.e., cognitive-behavioral therapy, group therapy, psychoanalytic therapy)

Topics of Psychology Research Related to Human Cognition

Some of the possible topics you might explore in this area include thinking, language, intelligence, and decision-making. Other ideas might include:

• False memories
• Speech disorders
• Problem-solving

Topics of Psychology Research Related to Human Development

In this area, you might opt to focus on issues pertinent to  early childhood  such as language development, social learning, or childhood attachment or you might instead opt to concentrate on issues that affect older adults such as dementia or Alzheimer's disease.

Some other topics you might consider include:

• Language acquisition
• Media violence and children
• Learning disabilities
• Gender roles
• Child abuse
• Prenatal development
• Parenting styles
• Aspects of the aging process

Do a Critique of Publications Involving Psychology Research Topics

One option is to consider writing a critique paper of a published psychology book or academic journal article. For example, you might write a critical analysis of Sigmund Freud's Interpretation of Dreams or you might evaluate a more recent book such as Philip Zimbardo's  The Lucifer Effect: Understanding How Good People Turn Evil .

Professional and academic journals are also great places to find materials for a critique paper. Browse through the collection at your university library to find titles devoted to the subject that you are most interested in, then look through recent articles until you find one that grabs your attention.

Topics of Psychology Research Related to Famous Experiments

There have been many fascinating and groundbreaking experiments throughout the history of psychology, providing ample material for students looking for an interesting term paper topic. In your paper, you might choose to summarize the experiment, analyze the ethics of the research, or evaluate the implications of the study. Possible experiments that you might consider include:

• The Milgram Obedience Experiment
• The Stanford Prison Experiment
• The Little Albert Experiment
• Pavlov's Conditioning Experiments
• The Asch Conformity Experiment
• Harlow's Rhesus Monkey Experiments

Topics of Psychology Research About Historical Figures

One of the simplest ways to find a great topic is to choose an interesting person in the  history of psychology  and write a paper about them. Your paper might focus on many different elements of the individual's life, such as their biography, professional history, theories, or influence on psychology.

While this type of paper may be historical in nature, there is no need for this assignment to be dry or boring. Psychology is full of fascinating figures rife with intriguing stories and anecdotes. Consider such famous individuals as Sigmund Freud, B.F. Skinner, Harry Harlow, or one of the many other  eminent psychologists .

Psychology Research Topics About a Specific Career

​Another possible topic, depending on the course in which you are enrolled, is to write about specific career paths within the  field of psychology . This type of paper is especially appropriate if you are exploring different subtopics or considering which area interests you the most.

In your paper, you might opt to explore the typical duties of a psychologist, how much people working in these fields typically earn, and the different employment options that are available.

Topics of Psychology Research Involving Case Studies

One potentially interesting idea is to write a  psychology case study  of a particular individual or group of people. In this type of paper, you will provide an in-depth analysis of your subject, including a thorough biography.

Generally, you will also assess the person, often using a major psychological theory such as  Piaget's stages of cognitive development  or  Erikson's eight-stage theory of human development . It is also important to note that your paper doesn't necessarily have to be about someone you know personally.

In fact, many professors encourage students to write case studies on historical figures or fictional characters from books, television programs, or films.

Psychology Research Topics Involving Literature Reviews

Another possibility that would work well for a number of psychology courses is to do a literature review of a specific topic within psychology. A literature review involves finding a variety of sources on a particular subject, then summarizing and reporting on what these sources have to say about the topic.

Literature reviews are generally found in the  introduction  of journal articles and other  psychology papers , but this type of analysis also works well for a full-scale psychology term paper.

Topics of Psychology Research Based on Your Own Study or Experiment

Many psychology courses require students to design an actual psychological study or perform some type of experiment. In some cases, students simply devise the study and then imagine the possible results that might occur. In other situations, you may actually have the opportunity to collect data, analyze your findings, and write up your results.

Finding a topic for your study can be difficult, but there are plenty of great ways to come up with intriguing ideas. Start by considering your own interests as well as subjects you have studied in the past.

Online sources, newspaper articles, books , journal articles, and even your own class textbook are all great places to start searching for topics for your experiments and psychology term papers. Before you begin, learn more about  how to conduct a psychology experiment .

What This Means For You

After looking at this brief list of possible topics for psychology papers, it is easy to see that psychology is a very broad and diverse subject. While this variety makes it possible to find a topic that really catches your interest, it can sometimes make it very difficult for some students to select a good topic.

If you are still stumped by your assignment, ask your instructor for suggestions and consider a few from this list for inspiration.

• Hockenbury, SE & Nolan, SA. Psychology. New York: Worth Publishers; 2014.
• Santrock, JW. A Topical Approach to Lifespan Development. New York: McGraw-Hill Education; 2016.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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What are acceptable dissertation research methods?

August 16, 2023

Reading time:  3–4 minutes

Doctoral research is the cornerstone of a PhD program .

In order to write a dissertation, you must complete extensive, detailed research. Depending on your area of study, different types of research methods will be appropriate to complete your work.

“The choice of research method depends on the questions you hope to answer with your research,” says Curtis Brant, PhD, Capella University dean of research and scholarship.

Once you’ve identified your research problem, you’ll employ the methodology best suited for solving the problem.

There are two primary dissertation research methods: qualitative and quantitative.

Qualitative

Qualitative research focuses on examining the topic via cultural phenomena, human behavior or belief systems. This type of research uses interviews, open-ended questions or focus groups to gain insight into people’s thoughts and beliefs around certain behaviors and systems.

Dr. Brant says there are several approaches to qualitative inquiry. The three most routinely used include:

Generic qualitative inquiry. The researcher focuses on people’s experiences or perceptions in the real world. This often includes, but is not limited to, subjective opinions, attitudes and beliefs .

Case study. The researcher performs an in-depth exploration of a program, event, activity or process with an emphasis on the experience of one or more individuals. The focus of this kind of inquiry must be defined and often includes more than one set of data, such as interviews and field notes, observations or other qualitative data.

Phenomenological. The researcher identifies lived experiences associated with how an individual encounters and engages with the real world .

Qualitative research questions seek to discover:

• A participant’s verbal descriptions of a phenomenon being investigated
•  A researcher’s observations of the phenomenon being investigated
• An integrated interpretation of participant’s descriptions and researchers observations

Quantitative

Quantitative research involves the empirical investigation of observable and measurable variables. It is used for theory testing, predicting outcomes or determining relationships between and among variables using statistical analysis.

According to Dr. Brant, there are two primary data sources for quantitative research.

Surveys: Surveys involve asking people a set of questions, usually testing for linear relationships, statistical differences or statistical independence. This approach is common in correlation research designs.

Archival research (secondary data analysis). Archival research involves using preexisting data to answer research questions instead of collecting data from active human participants.

Quantitative research questions seek to address:

• Descriptions of variables being investigated
• Measurements of relationships between (at least two) variables
• Differences between two or more groups’ scores on a variable or variables

Which method should you choose?

Choosing a qualitative or quantitative methodology for your research will be based on the nature of the questions you ask, the preferred method in your field, the feasibility of the approach and other factors. Many programs offer doctoral mentors and support teams that can help guide you throughout the process.

Capella University offers PhD and professional doctorate degree programs ranging from business to education and health to technology. Learn more about Capella doctoral programs and doctoral support.

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Research Methods for Dissertation – Types with Comparison

Published by Carmen Troy at August 13th, 2021 , Revised On June 14, 2023

Introduction

“Research methods for a dissertation refer to the specific approaches, procedures, and techniques employed by researchers to investigate and gather data for their dissertation projects.”

These methods provide a systematic and structured framework for conducting research, ensuring the reliability, validity, and rigour of the study.

What are the different research methods for the dissertation, and which one should I use?

Choosing the right research method for a dissertation is a grinding and perplexing aspect of the dissertation research process. A well-defined  research methodology  helps you conduct your research in the right direction, validates the  results  of your research, and makes sure that the study you’re conducting answers the set  research questions .

The research  title,  research questions,  hypothesis , objectives, and study area generally determine the best research method in the dissertation.

This post’s primary purpose is to highlight what these different  types of research  methods involve and how you should decide which type of research fits the bill. As you read through this article, think about which one of these research methods will be the most appropriate for your research.

The practical, personal, and academic reasons for choosing any particular method of research are also analysed. You will find our explanation of experimental , descriptive , historical , quantitative , qualitative , and mixed research methods useful regardless of your field of study.

While choosing the right method of research for your own research, you need to:

• Understand the difference between research methods and  methodology .
• Think about your research topic, research questions, and research objectives to make an intelligent decision.
• Know about various types of research methods so that you can choose the most suitable and convenient method as per your research requirements.

Research Methodology Vs. Research Methods

A well-defined  research methodology  helps you conduct your research in the right direction, validates the  results  of your research, and makes sure that the study you are conducting answers the set  research questions .

Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the  research process .

You need to either collect data or talk to the people while conducting any research. The research methods can be classified based on this distinction.

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Types of Research Methods

Research methods are broadly divided into six main categories.

Experimental Research Methods

Descriptive research methods, historical research methods, quantitative research methods, qualitative research methods, mixed methods of research.

Experimental research  includes the experiments conducted in the laboratory or observation under controlled conditions. Researchers try to study human behavior by performing various experiments. Experiments can vary from personal and informal natural comparisons. It includes three  types of variables;

• Independent variable
• Dependent variable
• Controlled variable

Types of Experimental Methods

Laboratory experiments

The experiments were conducted in the laboratory. Researchers have control over the variables of the experiment.

Field experiment

The experiments were conducted in the open field and environment of the participants by incorporating a few artificial changes. Researchers do not have control over variables under measurement. Participants know that they are taking part in the experiment.

Natural experiments

The experiment is conducted in the natural environment of the participants. The participants are generally not informed about the experiment being conducted on them.

Example : Estimating the health condition of the population.

Quasi-experiments

A quasi-experiment is an experiment that takes advantage of natural occurrences. Researchers cannot assign random participants to groups.

Example: Comparing the academic performance of the two schools.

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Descriptive research aims at collecting the information to answer the current affairs. It follows the Ex post facto research, which predicts the possible reasons behind the situation that has already occurred. It aims to answer questions like how, what, when, where, and what rather than ‘why.’

In  historical research , an investigator collects, analyses the information to understand, describe, and explain the events that occurred in the past. Researchers try to find out what happened exactly during a certain period of time as accurately and as closely as possible. It does not allow any manipulation or control of variables.

Quantitative research  is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.

Quantitative research isn’t simply based on  statistical analysis or quantitative techniques but rather uses a certain approach to theory to address research hypotheses or research questions, establish an appropriate research methodology, and draw findings &  conclusions .

Some most commonly employed quantitative research strategies include data-driven dissertations, theory-driven studies, and reflection-driven research. Regardless of the chosen approach, there are some common quantitative research features as listed below.

• Quantitative research is based on testing or building on existing theories proposed by other researchers whilst taking a reflective or extensive route.
• Quantitative research aims to test the research hypothesis or answer established research questions.
• It is primarily justified by positivist or post-positivist research paradigms.
• The  research design can be relationship-based, quasi-experimental, experimental, or descriptive.
• It draws on a small sample to make generalisations to a wider population using probability sampling techniques.
• Quantitative data is gathered according to the established research questions and using research vehicles such as structured observation, structured interviews, surveys, questionnaires, and laboratory results.
• The researcher uses  statistical analysis  tools and techniques to measure variables and gather inferential or descriptive data. In some cases, your tutor or members of the dissertation committee might find it easier to verify your study results with numbers and statistical analysis.
• The accuracy of the study results is based on external and internal validity and the authenticity of the data used.
• Quantitative research answers research questions or tests the hypothesis using charts, graphs, tables, data, and statements.
• It underpins  research questions  or hypotheses and findings to make conclusions.
• The researcher can provide recommendations for future research and expand or test existing theories.

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It is a type of scientific research where a researcher collects evidence to seek answers to a  question . It is associated with studying human behaviour from an informative perspective. It aims at obtaining in-depth details of the problem.

As the term suggests,  qualitative research  is based on qualitative research methods, including participants’ observations, focus groups, and unstructured interviews.

Qualitative research is very different in nature when compared to quantitative research. It takes an established path towards the  research process , how  research questions  are set up, how existing theories are built upon, what research methods are employed, and how the  findings  are unveiled to the readers.

You may adopt conventional methods, including phenomenological research, narrative-based research, grounded theory research,  ethnographies ,  case studies , and auto-ethnographies.

Again, regardless of the chosen approach to qualitative research, your dissertation will have unique key features as listed below.

• The research questions that you aim to answer will expand or even change as the  dissertation writing process continues. This aspect of the research is typically known as an emergent design where the research objectives evolve with time.
• Qualitative research may use existing theories to cultivate new theoretical understandings or fall back on existing theories to support the research process. However, the original goal of testing a certain theoretical understanding remains the same.
• It can be based on various research models, such as critical theory, constructivism, and interpretivism.
• The chosen research design largely influences the analysis and discussion of results and the choices you make. Research design depends on the adopted research path: phenomenological research, narrative-based research, grounded theory-based research, ethnography, case study-based research, or auto-ethnography.
• Qualitative research answers research questions with theoretical sampling, where data gathered from an organisation or people are studied.
• It involves various research methods to gather qualitative data from participants belonging to the field of study. As indicated previously, some of the most notable qualitative research methods include participant observation, focus groups, and unstructured  interviews .
• It incorporates an  inductive process where the researcher analyses and understands the data through his own eyes and judgments to identify concepts and themes that comprehensively depict the researched material.
• The key quality characteristics of qualitative research are transferability, conformity, confirmability, and reliability.
• Results and discussions are largely based on narratives, case study and personal experiences, which help detect inconsistencies, observations, processes, and ideas.s
• Qualitative research discusses theoretical concepts obtained from the results whilst taking research questions and/or hypotheses  to draw general  conclusions .

Now that you know the unique differences between quantitative and qualitative research methods, you may want to learn a bit about primary and secondary research methods.

Here is an article that will help you  distinguish between primary and secondary research and decide whether you need to use quantitative and/or qualitative primary research methods in your dissertation.

Alternatively, you can base your dissertation on secondary research, which is descriptive and explanatory in essence.

Types of Qualitative Research Methods

Action research

Action research  aims at finding an immediate solution to a problem. The researchers can also act as the participants of the research. It is used in the educational field.

A  case study  includes data collection from multiple sources over time. It is widely used in social sciences to study the underlying information, organisation, community, or event. It does not provide any solution to the problem. Researchers cannot act as the participants of the research.

Ethnography

In  this type of research, the researcher examines the people in their natural environment. Ethnographers spend time with people to study people and their culture closely. They can consult the literature before conducting the study.

When you combine quantitative and qualitative methods of research, the resulting approach becomes mixed methods of research.

Over the last few decades, much of the research in academia has been conducted using mixed methods because of the greater legitimacy this particular technique has gained for several reasons including the feeling that combining the two types of research can provide holistic and more dependable results.

Here is what mixed methods of research involve:

• Interpreting and investigating the information gathered through quantitative and qualitative techniques.
• There could be more than one stage of research. Depending on the research topic, occasionally it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes; and conduct quantitative research in stage two of the process for measuring relationships between the themes.

Note: However, this method has one prominent limitation, which is, as previously mentioned, combining qualitative and quantitative research can be difficult because they both are different in terms of design and approach. In many ways, they are contrasting styles of research, and so care must be exercised when basing your dissertation on mixed methods of research.

When choosing a research method for your own dissertation, it would make sense to carefully think about your  research topic ,  research questions , and research objectives to make an intelligent decision in terms of the philosophy of  research design .

Dissertations based on mixed methods of research can be the hardest to tackle even for PhD students.

Our writers have years of experience in writing flawless and to the point mixed methods-based dissertations to be confident that the dissertation they write for you will be according to the technical requirements and the formatting guidelines.

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Please Find Below an Example of Research Methods Section in a Dissertation or Thesis.

Background and Problem

Diversity management became prominent in the late twentieth century, with foundations in America. Historically homogeneous or nondiverse nations, such as Finland, have not yet experienced the issues associated with rising cultural and ethnic diversity in the workforce. Regardless of the environment, workforce diversity garners greater attention and is characterised by its expanding relevance due to globalised and international companies, global and national worker mobility, demographic shifts, or enhancing productivity.

As a result, challenges of diversity management have been handled through legal, financial, and moral pressures (Hayes et al., 2020). The evolving structure of the working population in terms of language, ethnic background, maturity level, faith, or ethnocultural history is said to pose a challenge to human resource management (HRM) in utilising diversity: the understanding, abilities, and expertise prospects of the entire workforce to deal with possible developments.

The European approach to diversity management is regarded as growing. However, it is found to emphasise the relationship to business and lack competence in diversity management problems. Mass immigration concentrates variety, sometimes treated as cultural minority issues, implying the normalisation of anti-discrimination actions (Yadav and Lenka, 2020).

These causes, in turn, have provided the basis of comprehensive diversity research, which has generated different theories, frameworks, concepts, and guidelines from interdisciplinary viewpoints, such as industrial and organisational psychology and behaviour (OB), cultural studies, anthropology, migration, economics, postcolonialism, and so on. And in the form of international, social and cultural, organisational, group, and individual scale diversity analysis. This dissertation focuses on diversity concerns from impression management, specifically from HRM as an executive-level phenomenon (Seliverstova, 2021).

As conceptual frameworks, organisational structures concentrating on the production of diversity and social psychology, notably social identity theory with diverse ‘identities’ of persons or intergroup connections, are primarily employed. The study’s primary goal in the workplace is to discover inequities or examine the effects of diversity on workplace outcomes.

Individual study interests include behaviours, emotions, intelligence, intercultural skills or competencies, while group research interests include group dynamics, intergroup interactions, effectiveness, and cooperation or collaboration. Organisational studies address themes such as workforce composition, workplace equality, and diversity challenges and how they may be managed accordingly. Domestic diversity, omitting national distinctions, or global diversity, about diverse country cultures, might be studied further (AYDIN and ÖZEREN, 2018).

Diversity is a context-dependent, particular, comparative, complicated, plural phrase or idea with varying interpretations in different organisations and cultures and no unified definition. As a result, in addition to many internal and external elements, diversity may be managed, individuals taught, and organisations have grown in various ways. This dissertation considers diversity in an organisational environment as a construct of ‘differences’ to be handled (Cummings, 2018).

Various management systems have grown in stages, bringing diverse diversity management concepts. Equality/equal opportunities (EO) legislation and diversity management are the two conventional approaches and primary streams with differing theoretical foundations for managing and dealing with workforce diversity challenges (DM).

These approaches relate to whether diversity is handled by increasing sameness by legal pressures or by voluntarily respecting people’s differences, which shows an organisation’s responsiveness and proactivity toward managing diversity. But most of the literature in this area has avoided the impression management theories (Coad and Guenther, 2014). Therefore, this study will add a new dimension in this area by introducing impression management analysis.

Research Aim and Objectives

This research aims to analyse the impact of organisational structure on human resources diversification from the viewpoint of impression managerial theory. It has the following objectives:

• It will examine the existing impression management literature to draw insights into the relationship under consideration.
• It will identify various factors such as competency, social inclusion, etc., affecting the management’s decision to recruit diverse human resources.
• It will recommend appropriate organisational structures and HR policies to improve diversification of HR by reviewing impression management theories.

Research Questions

This research will answer the following questions:

• How does organisational structure affect human resources diversification from the viewpoint of impression managerial theory?
• What factors such as competency, social inclusion, etc., affect the management decision to recruit diverse human resources?
• What are appropriate organisational structures and HR policies to improve diversification of HR by reviewing impression management theories?

Research Hypothesis

The organisational structure significantly impacts the recruitment of diverse human resources.

Literature Review

According to Staniec and Zakrzewska-Bielawska (2010), considering strategy-oriented activities and organisational components are the critical foundation in the organisational structure required to align structure strategy. Each company’s internal organisation is somewhat distinctive, resulting from various corporate initiatives and historical conditions.

Furthermore, each design is based on essential success elements and vital tasks inherent in the firm plan. This article offers empirical research on unique organisational structure elements in Polish firms in the context of concentration and diversification tactics. And companies that adopted concentration techniques mainly used functional organisational structures.

Tasks were primarily classified and categorised based on functions and phases of the technical process, with coordination based on hierarchy. Jobs were also highly centralised and formalised. Organisational structures of an active type were also prevalent in many firms. Only a handful of the evaluated organisations possessed flexible contemporary divisional or matrix structures appropriate to differentiation. However, it appears that even such organisations should adjust their organisational solutions to perform successfully in an immensely complex and chaotic environment.

Similarly, according to Yang and Konrad (2011), diversity management techniques are the institutionalised methods created and applied by organisations to manage diversity among all organisational shareholders. They examined the existing research on the causes and significance of diversity management approaches.

They construct a research model indicating many potential routes for future study using institutional and resource-based theories. They also offer prospective avenues for study on diversity management techniques to further the two theoretical viewpoints. The findings indicate that research on diverse management practises might provide perceptions into the two ideologies. Diversity management provides a method for reconciling the agency vs structure issue for institutional concept.

Furthermore, diversity management is a suitable framework for studying how institutional pressures are translated into organisational action and the relationship between complying with institutional mandates and attaining high performance. Research on diversity management raises the importance of environmental normative elements in resource-based reasoning.

It allows for exploring essential resource sources and the co-evolution of diversity resources and management capacities, potentially developing dynamic resource-based theory. Furthermore, a review of the existing research on diversity management practices reveals that research in this field has nearly entirely concentrated on employee-related activities.

However, in establishing the idea of diversity management practises, we included the practises that companies put in place to manage diversity across all stakeholder groups on purpose. Management techniques for engaging with consumers, dealers, supervisors, board directors, and community members are critical for meeting institutional theory’s social and normative commitments.

Moreover, according to Sippola (2014), this research looks at diversity management from the standpoint of HRM. The study aims to discover the effects of expanding workforce diversity on HRM inside firms. This goal will be accomplished through four papers examining diversity management’s impacts on HRM from various viewpoints and mostly in longitudinal contexts.

The purpose of the first article, as a pilot survey, is to determine the reasons, advantages, and problems of rising cultural diversity and the consequences for HRM to get a preliminary grasp of the issue in the specific setting. According to the report, diversity is vital for productivity but is not often emphasised in HRM strategy.

The key areas that were changed were acquisition, development, and growth. The second article examines how different diversity management paradigms recognised in businesses affect HRM. It offers an experimentally verified typology that explains reactive or proactive strategic and operational level HRM activities in light of four alternative diversity management perspectives.

The third essay will examine how a ‘working culture bridge group’ strategy fosters and enhances workplace diversity. The research looks into how development goals are defined, what training and development techniques are used, and the consequences and causal factors when an analysis measures the training and development approach.

The primary goal of article four is to establish which components of diversity management design are globally integrated into multinational corporations (MNCs) and which integrating (delivery) methods are employed to facilitate it. Another goal is to identify the institutional problems faced by the Finnish national diversity setting during the integration process.

The findings show that the example organisation achieved more excellent global uniformity at the level of diversification concept through effective use of multiple frameworks but was forced to rely on a more multinational approach to implementing diversification policies and procedures. The difficulties faced emphasised the distinctiveness of Finland’s cognitive and normative institutional setting for diversity.

Furthermore, according to Guillaume et al. (2017), to compensate for the dual-edged character of demographic workplace diversity impacts on social inclusion, competence, and well-being-related factors, research has shifted away from straightforward main effect methods and begun to investigate factors that moderate these effects.

While there is no shortage of primary research on the circumstances that lead to favourable or poor results, it is unknown which contextual elements make it work. Using the Classification framework as a theoretical lens, they examine variables that moderate the impacts of workplace diversity on social integration, performance, and well-being outcomes, emphasising characteristics that organisations and managers can influence.

They suggest future study directions and end with practical applications. They concluded that faultlines, cross-categorisation, and status variations across demographic groupings highlight variety. Cross-categorisation has been proven to reduce intergroup prejudice while promoting social inclusion, competence, and well-being. Whether faultlines and subgroup status inequalities promote negative or good intergroup interactions and hinder social integration, performance, and well-being depends on whether situational factors encourage negative or positive intergroup connections. The impacts were not mitigated by team size or diversity type.

Furthermore, our data demonstrate that task characteristics are essential for workgroup diversity. Any demographic diversity in workgroups can promote creativity, but only when combined with task-relevant expertise improves the performance of teams undertaking complicated tasks. The type of team and the industrial context do not appear to play an effect. It is unclear if these findings apply to relational demography and organisational diversity impacts. There is some evidence that, under some settings, relational demography may increase creativity, and, as previously said, demographic variety may help firms function in growth-oriented strategy contexts.

Likewise, according to Ali, Tawfeq, and Dler (2020), diversity management refers to organisational strategies that strive to increase the integration of people from diverse backgrounds into the framework of corporate goals. Organisations should develop productive ways to implement diversity management (DM) policies to establish a creative enterprise that can enhance their operations, goods, and services.

Furthermore, human resource management HRM is a clever tool for any firm to manage resources within the company. As a result, this article explores the link between DM, HR policies, and workers’ creative work-related behaviours in firms in Kurdistan’s Fayoum city. According to the questionnaire, two hypotheses were tested: the influence of HRM on diversity management, HRM on innovation, and the impact of diversity management on innovation.

The first premise is that workplace diversity changes the nature of working relationships, how supervisors and managers connect, and how workers respond to one another. It also addresses human resource functions such as record-keeping, training, recruiting, and employee competence needs. The last premise on the influence of diversity management on innovation is that workplace diversity assists a business in hiring a diverse range of personnel.

In other words, a vibrant population need individuals of varied personalities. Workplace diversity refers to a company’s workforce consisting of employees of various genders, ages, faiths, races, ethnicities, cultural backgrounds, religions, dialects, training, capabilities, etc. According to the study’s findings, human resource management strategies have a substantial influence on diversity management.

Second, diversity management was found to have a considerable impact on creativity. Finally, human resource management techniques influenced innovation significantly. Based on the findings, it was discovered that diversity management had a more significant influence on creation than human resource management.

Lastly, according to Li et al. (2021), the universal trend of rising workplace age diversity has increased the study focus on the organisational effects of age-diverse workforces. Prior research has mainly concentrated on the statistical association between age diversity and organisational success rather than experimentally examining the probable processes behind this relationship.

They argue that age diversity influences organisational performance through human and social capital using an intellectual capital paradigm. Moreover, they investigate workplace functional diversity and age-inclusive management as two confounding factors affecting the benefits of age diversity on physical and human capital.

Their hypotheses were evaluated using data from the Association for Human Resource Management’s major manager-reported workplace survey. Age diversity was favourably linked with organisational performance via the mediation of higher human and social capital. Furthermore, functional diversity and age-inclusive management exacerbated the favourable benefits of age variety on human and social capital. Their study gives insight into how age-diverse workforces might generate value by nurturing knowledge-based organisational resources.

Research Gap/ Contribution

Although there is a vast body of research in diversity in the human resource management area, many researchers explored various dimensions. But no study explicitly discovers the impact of organisational culture on human resource diversification. Moreover, no researchers examined the scope of impression management in this context.

Therefore, this research will fill this considerable literature gap by finding the direct impact of organisational structure on human resource diversification. Secondly, by introducing a new dimension of impression management theory. It will open new avenues for research in this area, and it will help HR managers to formulate better policies for a more inclusive organisational structure.

Research Methodology

It will be mixed quantitative and qualitative research based on the secondary data collected through different research journals and case studies of various companies. Firstly, the quantitative analysis will be conducted through a regression analysis to show the organisational structure’s impact on human resource diversification.

The dummy variable will be used to show organisational structure, and diversification will be captured through the ethnic backgrounds of the employees. Moreover, different variables will be added to the model, such as competency, social inclusion, etc. It will fulfil the objective of identifying various factors which affect the management decision to recruit diverse human resources. Secondly, a systematic review of the literature will be conducted for qualitative analysis to add the impression management dimension to the research. Google Scholar, JSTOR, Scopus, etc., will be used to search keywords such as human resource diversity, impression management, and organisation structure.

Research Limitation

Although research offers a comprehensive empirical analysis on the relationship under consideration due to lack of resources, the study is limited to secondary data. It would be better if the research would’ve been conducted on the primary data collected through the organisations. That would’ve captured the actual views of the working professionals. It would’ve increased the validity of the research.

Ali, M., Tawfeq, A., & Dler, S. (2020). Relationship between Diversity Management and Human Resource Management: Their Effects on Employee Innovation in the Organizations. Black Sea Journal of Management and Marketing, 1 (2), 36-44.

AYDIN, E., & ÖZEREN, E. (2018). Rethinking workforce diversity research through critical perspectives: emerging patterns and research agenda. Business & Management Studies: An International Journal, 6 (3), 650-670.

Coad, A., & Guenther, C. (2014). Processes of firm growth and diversification: theory and evidence. Small Business Economics, 43 (4), 857-871.

Cummings, V. (2018). Economic Diversification and Empowerment of Local Human Resources: Could Singapore Be a Model for the GCC Countries?. In. Economic Diversification in the Gulf Region, II , 241-260.

Guillaume, Y., Dawson, J., Otaye‐Ebede, L., Woods, S., & West, M. (2017). Harnessing demographic differences in organizations: What moderates the effects of workplace diversity? Journal of Organizational Behavior, 38 (2), 276-303.

Hayes, T., Oltman, K., Kaylor, L., & Belgudri, A. (2020). How leaders can become more committed to diversity management. Consulting Psychology Journal: Practice and Research, 72 (4), 247.

Li, Y., Gong, Y., Burmeister, A., Wang, M., Alterman, V., Alonso, A., & Robinson, S. (2021). Leveraging age diversity for organizational performance: An intellectual capital perspective. Journal of Applied Psychology, 106 (1), 71.

Seliverstova, Y. (2021). Workforce diversity management: a systematic literature review. Strategic Management, 26 (2), 3-11.

Sippola, A. (2014). Essays on human resource management perspectives on diversity management. Vaasan yliopisto.

Staniec, I., & Zakrzewska-Bielawska, A. (2010). Organizational structure in the view of single business concentration and diversification strategies—empirical study results. Recent advances in management, marketing, finances. WSEAS Press, Penang, Malaysia .

Yadav, S., & Lenka, U. (2020). Diversity management: a systematic review. Equality, Diversity and Inclusion: An International Journal .

Yang, Y., & Konrad, A. (2011). Understanding diversity management practices: Implications of institutional theory and resource-based theory. Group & Organization Management, 36 (1), 6-38.

FAQs About Research Methods for Dissertations

What is the difference between research methodology and research methods.

Research methodology helps you conduct your research in the right direction, validates the results of your research and makes sure that the study you are conducting answers the set research questions.

Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the research process.

What are the types of research methods?

The types of research methods include:

•     Experimental research methods.
•     Descriptive research methods
•     Historical Research methods

What is a quantitative research method?

Quantitative research is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.

What is a qualitative research method?

It is a type of scientific research where a researcher collects evidence to seek answers to a question . It is associated with studying human behavior from an informative perspective. It aims at obtaining in-depth details of the problem.

What is meant by mixed methods research?

Mixed methods of research involve:

• There could be more than one stage of research. Depending on the research topic, occasionally, it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes; and conduct quantitative research in stage two of the process for measuring relationships between the themes.

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Quantitative research is associated with measurable numerical data. Qualitative research is where a researcher collects evidence to seek answers to a question.

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Home » Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology – Structure, Example and Writing Guide

• Table of Contents

Dissertation Methodology

In any research, the methodology chapter is one of the key components of your dissertation. It provides a detailed description of the methods you used to conduct your research and helps readers understand how you obtained your data and how you plan to analyze it. This section is crucial for replicating the study and validating its results.

Here are the basic elements that are typically included in a dissertation methodology:

• Introduction : This section should explain the importance and goals of your research .
• Research Design : Outline your research approach and why it’s appropriate for your study. You might be conducting an experimental research, a qualitative research, a quantitative research, or a mixed-methods research.
• Data Collection : This section should detail the methods you used to collect your data. Did you use surveys, interviews, observations, etc.? Why did you choose these methods? You should also include who your participants were, how you recruited them, and any ethical considerations.
• Data Analysis : Explain how you intend to analyze the data you collected. This could include statistical analysis, thematic analysis, content analysis, etc., depending on the nature of your study.
• Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your study. For instance, you could discuss measures taken to reduce bias, how you ensured that your measures accurately capture what they were intended to, or how you will handle any limitations in your study.
• Ethical Considerations : This is where you state how you have considered ethical issues related to your research, how you have protected the participants’ rights, and how you have complied with the relevant ethical guidelines.
• Limitations : Acknowledge any limitations of your methodology, including any biases and constraints that might have affected your study.
• Summary : Recap the key points of your methodology chapter, highlighting the overall approach and rationalization of your research.

Types of Dissertation Methodology

The type of methodology you choose for your dissertation will depend on the nature of your research question and the field you’re working in. Here are some of the most common types of methodologies used in dissertations:

Experimental Research

This involves creating an experiment that will test your hypothesis. You’ll need to design an experiment, manipulate variables, collect data, and analyze that data to draw conclusions. This is commonly used in fields like psychology, biology, and physics.

Survey Research

This type of research involves gathering data from a large number of participants using tools like questionnaires or surveys. It can be used to collect a large amount of data and is often used in fields like sociology, marketing, and public health.

Qualitative Research

This type of research is used to explore complex phenomena that can’t be easily quantified. Methods include interviews, focus groups, and observations. This methodology is common in fields like anthropology, sociology, and education.

Quantitative Research

Quantitative research uses numerical data to answer research questions. This can include statistical, mathematical, or computational techniques. It’s common in fields like economics, psychology, and health sciences.

Case Study Research

This type of research involves in-depth investigation of a particular case, such as an individual, group, or event. This methodology is often used in psychology, social sciences, and business.

Mixed Methods Research

This combines qualitative and quantitative research methods in a single study. It’s used to answer more complex research questions and is becoming more popular in fields like social sciences, health sciences, and education.

Action Research

This type of research involves taking action and then reflecting upon the results. This cycle of action-reflection-action continues throughout the study. It’s often used in fields like education and organizational development.

Longitudinal Research

This type of research involves studying the same group of individuals over an extended period of time. This could involve surveys, observations, or experiments. It’s common in fields like psychology, sociology, and medicine.

Ethnographic Research

This type of research involves the in-depth study of people and cultures. Researchers immerse themselves in the culture they’re studying to collect data. This is often used in fields like anthropology and social sciences.

Structure of Dissertation Methodology

The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements:

• Introduction : Briefly introduce your overall approach to the research. Explain what you plan to explore and why it’s important.
• Research Design/Approach : Describe your overall research design. This can be qualitative, quantitative, or mixed methods. Explain the rationale behind your chosen design and why it is suitable for your research questions or hypotheses.
• Data Collection Methods : Detail the methods you used to collect your data. You should include what type of data you collected, how you collected it, and why you chose this method. If relevant, you can also include information about your sample population, such as how many people participated, how they were chosen, and any relevant demographic information.
• Data Analysis Methods : Explain how you plan to analyze your collected data. This will depend on the nature of your data. For example, if you collected quantitative data, you might discuss statistical analysis techniques. If you collected qualitative data, you might discuss coding strategies, thematic analysis, or narrative analysis.
• Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your research. This might include steps you took to reduce bias or increase the accuracy of your measurements.
• Ethical Considerations : If relevant, discuss any ethical issues associated with your research. This might include how you obtained informed consent from participants, how you ensured participants’ privacy and confidentiality, or any potential conflicts of interest.
• Limitations : Acknowledge any limitations in your research methodology. This could include potential sources of bias, difficulties with data collection, or limitations in your analysis methods.
• Summary/Conclusion : Briefly summarize the key points of your methodology, emphasizing how it helps answer your research questions or hypotheses.

How to Write Dissertation Methodology

Writing a dissertation methodology requires you to be clear and precise about the way you’ve carried out your research. It’s an opportunity to convince your readers of the appropriateness and reliability of your approach to your research question. Here is a basic guideline on how to write your methodology section:

1. Introduction

Start your methodology section by restating your research question(s) or objective(s). This ensures your methodology directly ties into the aim of your research.

2. Approach

Identify your overall approach: qualitative, quantitative, or mixed methods. Explain why you have chosen this approach.

• Qualitative methods are typically used for exploratory research and involve collecting non-numerical data. This might involve interviews, observations, or analysis of texts.
• Quantitative methods are used for research that relies on numerical data. This might involve surveys, experiments, or statistical analysis.
• Mixed methods use a combination of both qualitative and quantitative research methods.

3. Research Design

Describe the overall design of your research. This could involve explaining the type of study (e.g., case study, ethnography, experimental research, etc.), how you’ve defined and measured your variables, and any control measures you’ve implemented.

4. Data Collection

Explain in detail how you collected your data.

• If you’ve used qualitative methods, you might detail how you selected participants for interviews or focus groups, how you conducted observations, or how you analyzed existing texts.
• If you’ve used quantitative methods, you might detail how you designed your survey or experiment, how you collected responses, and how you ensured your data is reliable and valid.

5. Data Analysis

Describe how you analyzed your data.

• If you’re doing qualitative research, this might involve thematic analysis, discourse analysis, or grounded theory.
• If you’re doing quantitative research, you might be conducting statistical tests, regression analysis, or factor analysis.

Discuss any ethical issues related to your research. This might involve explaining how you obtained informed consent, how you’re protecting participants’ privacy, or how you’re managing any potential harms to participants.

7. Reliability and Validity

Discuss the steps you’ve taken to ensure the reliability and validity of your data.

• Reliability refers to the consistency of your measurements, and you might discuss how you’ve piloted your instruments or used standardized measures.
• Validity refers to the accuracy of your measurements, and you might discuss how you’ve ensured your measures reflect the concepts they’re supposed to measure.

8. Limitations

Every study has its limitations. Discuss the potential weaknesses of your chosen methods and explain any obstacles you faced in your research.

9. Conclusion

Summarize the key points of your methodology, emphasizing how it helps to address your research question or objective.

Example of Dissertation Methodology

An Example of Dissertation Methodology is as follows:

Chapter 3: Methodology

• Introduction

This chapter details the methodology adopted in this research. The study aimed to explore the relationship between stress and productivity in the workplace. A mixed-methods research design was used to collect and analyze data.

Research Design

This study adopted a mixed-methods approach, combining quantitative surveys with qualitative interviews to provide a comprehensive understanding of the research problem. The rationale for this approach is that while quantitative data can provide a broad overview of the relationships between variables, qualitative data can provide deeper insights into the nuances of these relationships.

Data Collection Methods

Quantitative Data Collection : An online self-report questionnaire was used to collect data from participants. The questionnaire consisted of two standardized scales: the Perceived Stress Scale (PSS) to measure stress levels and the Individual Work Productivity Questionnaire (IWPQ) to measure productivity. The sample consisted of 200 office workers randomly selected from various companies in the city.

Qualitative Data Collection : Semi-structured interviews were conducted with 20 participants chosen from the initial sample. The interview guide included questions about participants’ experiences with stress and how they perceived its impact on their productivity.

Data Analysis Methods

Quantitative Data Analysis : Descriptive and inferential statistics were used to analyze the survey data. Pearson’s correlation was used to examine the relationship between stress and productivity.

Qualitative Data Analysis : Interviews were transcribed and subjected to thematic analysis using NVivo software. This process allowed for identifying and analyzing patterns and themes regarding the impact of stress on productivity.

Reliability and Validity

To ensure reliability and validity, standardized measures with good psychometric properties were used. In qualitative data analysis, triangulation was employed by having two researchers independently analyze the data and then compare findings.

Ethical Considerations

All participants provided informed consent prior to their involvement in the study. They were informed about the purpose of the study, their rights as participants, and the confidentiality of their responses.

Limitations

The main limitation of this study is its reliance on self-report measures, which can be subject to biases such as social desirability bias. Moreover, the sample was drawn from a single city, which may limit the generalizability of the findings.

Where to Write Dissertation Methodology

In a dissertation or thesis, the Methodology section usually follows the Literature Review. This placement allows the Methodology to build upon the theoretical framework and existing research outlined in the Literature Review, and precedes the Results or Findings section. Here’s a basic outline of how most dissertations are structured:

• Acknowledgements
• Literature Review (or it may be interspersed throughout the dissertation)
• Methodology
• Results/Findings
• References/Bibliography

In the Methodology chapter, you will discuss the research design, data collection methods, data analysis methods, and any ethical considerations pertaining to your study. This allows your readers to understand how your research was conducted and how you arrived at your results.

Advantages of Dissertation Methodology

The dissertation methodology section plays an important role in a dissertation for several reasons. Here are some of the advantages of having a well-crafted methodology section in your dissertation:

• Clarifies Your Research Approach : The methodology section explains how you plan to tackle your research question, providing a clear plan for data collection and analysis.
• Enables Replication : A detailed methodology allows other researchers to replicate your study. Replication is an important aspect of scientific research because it provides validation of the study’s results.
• Demonstrates Rigor : A well-written methodology shows that you’ve thought critically about your research methods and have chosen the most appropriate ones for your research question. This adds credibility to your study.
• Enhances Transparency : Detailing your methods allows readers to understand the steps you took in your research. This increases the transparency of your study and allows readers to evaluate potential biases or limitations.
• Helps in Addressing Research Limitations : In your methodology section, you can acknowledge and explain the limitations of your research. This is important as it shows you understand that no research method is perfect and there are always potential weaknesses.
• Facilitates Peer Review : A detailed methodology helps peer reviewers assess the soundness of your research design. This is an important part of the publication process if you aim to publish your dissertation in a peer-reviewed journal.
• Establishes the Validity and Reliability : Your methodology section should also include a discussion of the steps you took to ensure the validity and reliability of your measurements, which is crucial for establishing the overall quality of your research.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Tips for a qualitative dissertation

Veronika Williams

17 October 2017

Tips for students

This blog is part of a series for Evidence-Based Health Care MSc students undertaking their dissertations.

Undertaking an MSc dissertation in Evidence-Based Health Care (EBHC) may be your first hands-on experience of doing qualitative research. I chatted to Dr. Veronika Williams, an experienced qualitative researcher, and tutor on the EBHC programme, to find out her top tips for producing a high-quality qualitative EBHC thesis.

1) Make the switch from a quantitative to a qualitative mindset

It’s not just about replacing numbers with words. Doing qualitative research requires you to adopt a different way of seeing and interpreting the world around you. Veronika asks her students to reflect on positivist and interpretivist approaches: If you come from a scientific or medical background, positivism is often the unacknowledged status quo. Be open to considering there are alternative ways to generate and understand knowledge.

2) Reflect on your role

Quantitative research strives to produce “clean” data unbiased by the context in which it was generated.  With qualitative methods, this is neither possible nor desirable.  Students should reflect on how their background and personal views shape the way they collect and analyse their data. This will not only add to the transparency of your work but will also help you interpret your findings.

3)  Don’t forget the theory

Qualitative researchers use theories as a lens through which they understand the world around them. Veronika suggests that students consider the theoretical underpinning to their own research at the earliest stages. You can read an article about why theories are useful in qualitative research  here.

4) Think about depth rather than breadth

Qualitative research is all about developing a deep and insightful understanding of the phenomenon/ concept you are studying. Be realistic about what you can achieve given the time constraints of an MSc.  Veronika suggests that collecting and analysing a smaller dataset well is preferable to producing a superficial, rushed analysis of a larger dataset.

5) Blur the boundaries between data collection, analysis and writing up

Veronika strongly recommends keeping a research diary or using memos to jot down your ideas as your research progresses. Not only do these add to your audit trail, these entries will help contribute to your first draft and the process of moving towards theoretical thinking. Qualitative researchers move back and forward between their dataset and manuscript as their ideas develop. This enriches their understanding and allows emerging theories to be explored.

6) Move beyond the descriptive

When analysing interviews, for example, it can be tempting to think that having coded your transcripts you are nearly there. This is not the case!  You need to move beyond the descriptive codes to conceptual themes and theoretical thinking in order to produce a high-quality thesis.  Veronika warns against falling into the pitfall of thinking writing up is, “Two interviews said this whilst three interviewees said that”.

7) It’s not just about the average experience

When analysing your data, consider the outliers or negative cases, for example, those that found the intervention unacceptable.  Although in the minority, these respondents will often provide more meaningful insight into the phenomenon or concept you are trying to study.

8) Bounce ideas

Veronika recommends sharing your emerging ideas and findings with someone else, maybe with a different background or perspective. This isn’t about getting to the “right answer” rather it offers you the chance to refine your thinking.  Be sure, though, to fully acknowledge their contribution in your thesis.

9) Be selective

In can be a challenge to meet the dissertation word limit.  It won’t be possible to present all the themes generated by your dataset so focus! Use quotes from across your dataset that best encapsulate the themes you are presenting.  Display additional data in the appendix.  For example, Veronika suggests illustrating how you moved from your coding framework to your themes.

10) Don’t panic!

There will be a stage during analysis and write up when it seems undoable.  Unlike quantitative researchers who begin analysis with a clear plan, qualitative research is more of a journey. Everything will fall into place by the end.  Be sure, though, to allow yourself enough time to make sense of the rich data qualitative research generates.

Related course:

Qualitative research methods.

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50 Best Finance Dissertation Topics For Research Students

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Finance Dissertation Made Easier!

Embarking on your dissertation adventure? Look no further! Choosing the right finance dissertation topics is like laying the foundation for your research journey in Finance, and we're here to light up your path. In this blog, we're diving deep into why dissertation topics in finance matter so much. We've got some golden writing tips to share with you! We're also unveiling the secret recipe for structuring a stellar finance dissertation and exploring intriguing topics across various finance sub-fields. Whether you're captivated by cryptocurrency, risk management strategies, or exploring the wonders of Internet banking, microfinance, retail and commercial banking - our buffet of Finance dissertation topics will surely set your research spirit on fire!

What is a Finance Dissertation?

Finance dissertations are academic papers that delve into specific finance topics chosen by students, covering areas such as stock markets, banking, risk management, and healthcare finance. These dissertations require extensive research to create a compelling report and contribute to the student's confidence and satisfaction in the field of Finance. Now, let's understand why these dissertations are so important and why choosing the right Finance dissertation topics is crucial!

Why Are Finance Dissertation Topics Important?

Choosing the dissertation topics for Finance students is essential as it will influence the course of your research. It determines the direction and scope of your study. You must make sure that the Finance dissertation topics you choose are relevant to your field of interest, or you may end up finding it more challenging to write. Here are a few reasons why finance thesis topics are important:

1. Relevance

Opting for relevant finance thesis topics ensures that your research contributes to the existing body of knowledge and addresses contemporary issues in the field of Finance. Choosing a dissertation topic in Finance that is relevant to the industry can make a meaningful impact and advance understanding in your chosen area.

2. Personal Interest

Selecting Finance dissertation topics that align with your interests and career goals is vital. When genuinely passionate about your research area, you are more likely to stay motivated during the dissertation process. Your interest will drive you to explore the subject thoroughly and produce high-quality work.

3. Future Opportunities

Well-chosen Finance dissertation topics can open doors to various future opportunities. It can enhance your employability by showcasing your expertise in a specific finance area. It may lead to potential research collaborations and invitations to conferences in your field of interest.

4. Academic Supervision

Your choice of topics for dissertation in Finance also influences the availability of academic supervisors with expertise in your chosen area. Selecting a well-defined research area increases the likelihood of finding a supervisor to guide you effectively throughout the dissertation. Their knowledge and guidance will greatly contribute to the success of your research.

Writing Tips for Finance Dissertation

A lot of planning, formatting, and structuring goes into writing a dissertation. It starts with deciding on topics for a dissertation in Finance and conducting tons of research, deciding on methods, and so on. However, you can navigate the process more effectively with proper planning and organisation. Below are some tips to assist you along the way, and here is a blog on the 10 tips on writing a dissertation that can give you more information, should you need it!

1. Select a Manageable Topic

Choosing Finance research topics within the given timeframe and resources is important. Select a research area that interests you and aligns with your career goals. It will help you stay inspired throughout the dissertation process.

2. Conduct a Thorough Literature Review

A comprehensive literature review forms the backbone of your research. After choosing the Finance dissertation topics, dive deep into academic papers, books, and industry reports, gaining a solid understanding of your chosen area to identify research gaps and establish the significance of your study.

3. Define Clear Research Objectives

Clearly define your dissertation's research questions and objectives. It will provide a clear direction for your research and guide your data collection, analysis, and overall structure. Ensure your objectives are specific, measurable, achievable, relevant, and time-bound (SMART).

4. Collect and Analyse Data

Depending on your research methodology and your Finance dissertation topics, collect and analyze relevant data to support your findings. It may involve conducting surveys, interviews, experiments, and analyzing existing datasets. Choose appropriate statistical techniques and qualitative methods to derive meaningful insights from your data.

5. Structure and Organization

Pay attention to the structure and organization of your dissertation. Follow a logical progression of chapters and sections, ensuring that each chapter contributes to the overall coherence of your study. Use headings, subheadings, and clear signposts to guide the reader through your work.

6. Proofread and Edit

Once you have completed the writing process, take the time to proofread and edit your dissertation carefully. Check for clarity, coherence, and proper grammar. Ensure that your arguments are well-supported, and eliminate any inconsistencies or repetitions. Pay attention to formatting, citation styles, and consistency in referencing throughout your dissertation.

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Finance Dissertation Topics

Now that you know what a finance dissertation is and why they are important, it's time to have a look at some of the best Finance dissertation topics. For your convenience, we have segregated these topics into categories, including cryptocurrency, risk management, internet banking, and so many more. So, let's dive right in and explore the best Finance dissertation topics:

Dissertation topics in Finance related to Cryptocurrency

1. The Impact of Regulatory Frameworks on the Volatility and Liquidity of Cryptocurrencies.

2. Exploring the Factors Influencing Cryptocurrency Adoption: A Comparative Study.

3. Assessing the Efficiency and Market Integration of Cryptocurrency Exchanges.

4. An Analysis of the Relationship between Cryptocurrency Prices and Macroeconomic Factors.

5. The Role of Initial Coin Offerings (ICOs) in Financing Startups: Opportunities and Challenges.

Dissertation topics in Finance related to Risk Management

1. The Effectiveness of Different Risk Management Strategies in Mitigating Financial Risks in Banking Institutions.

2. The Role of Derivatives in Hedging Financial Risks: A Comparative Study.

3. Analyzing the Impact of Risk Management Practices on Firm Performance: A Case Study of a Specific Industry.

4. The Use of Stress Testing in Evaluating Systemic Risk: Lessons from the Global Financial Crisis.

5. Assessing the Relationship between Corporate Governance and Risk Management in Financial Institutions.

Dissertation topics in Finance related to Internet Banking

1. Customer Adoption of Internet Banking: An Empirical Study on Factors Influencing Usage.

Enhancing Security in Internet Banking: Exploring Biometric Authentication Technologies.

2. The Impact of Mobile Banking Applications on Customer Engagement and Satisfaction.

3. Evaluating the Efficiency and Effectiveness of Internet Banking Services in Emerging Markets.

4. The Role of Social Media in Shaping Customer Perception and Adoption of Internet Banking.

Dissertation topics in Finance related to Microfinance

1. The Impact of Microfinance on Poverty Alleviation: A Comparative Study of Different Models.

2. Exploring the Role of Microfinance in Empowering Women Entrepreneurs.

3. Assessing the Financial Sustainability of Microfinance Institutions in Developing Countries.

4. The Effectiveness of Microfinance in Promoting Rural Development: Evidence from a Specific Region.

5. Analyzing the Relationship between Microfinance and Entrepreneurial Success: A Longitudinal Study.

Dissertation topics in Finance related to Retail and Commercial Banking

1. The Impact of Digital Transformation on Retail and Commercial Banking: A Case Study of a Specific Bank.

2. Customer Satisfaction and Loyalty in Retail Banking: An Analysis of Service Quality Dimensions.

3. Analyzing the Relationship between Bank Branch Expansion and Financial Performance.

4. The Role of Fintech Startups in Disrupting Retail and Commercial Banking: Opportunities and Challenges.

5. Assessing the Impact of Mergers and Acquisitions on the Performance of Retail and Commercial Banks.

Dissertation topics in Finance related to Alternative Investment

1. The Performance and Risk Characteristics of Hedge Funds: A Comparative Analysis.

2. Exploring the Role of Private Equity in Financing and Growing Small and Medium-Sized Enterprises.

3. Analyzing the Relationship between Real Estate Investments and Portfolio Diversification.

4. The Potential of Impact Investing: Evaluating the Social and Financial Returns.

5. Assessing the Risk-Return Tradeoff in Cryptocurrency Investments: A Comparative Study.

Dissertation topics in Finance related to International Affairs

1. The Impact of Exchange Rate Volatility on International Trade: A Case Study of a Specific Industry.

2. Analyzing the Effectiveness of Capital Controls in Managing Financial Crises: Comparative Study of Different Countries.

3. The Role of International Financial Institutions in Promoting Economic Development in Developing Countries.

4. Evaluating the Implications of Trade Wars on Global Financial Markets.

5. Assessing the Role of Central Banks in Managing Financial Stability in a Globalized Economy.

Dissertation topics in Finance related to Sustainable Finance

1. The impact of sustainable investing on financial performance.

2. The role of green bonds in financing climate change mitigation and adaptation.

3. The development of carbon markets.

4. The use of environmental, social, and governance (ESG) factors in investment decision-making.

5. The challenges and opportunities of sustainable Finance in emerging markets.

Dissertation topics in Finance related to Investment Banking

1. The valuation of distressed assets.

2. The pricing of derivatives.

3. The risk management of financial institutions.

4. The regulation of investment banks.

5. The impact of technology on the investment banking industry.

Dissertation topics in Finance related to Actuarial Science

1. The development of new actuarial models for pricing insurance products.

2. The use of big data in actuarial analysis.

3. The impact of climate change on insurance risk.

4. The design of pension plans that are sustainable in the long term.

5. The use of actuarial science to manage risk in other industries, such as healthcare and Finance.

Tips To Find Good Finance Dissertation Topics 

Embarking on a financial dissertation journey requires careful consideration of various factors. Your choice of topic in finance research topics is pivotal, as it sets the stage for the entire research process. Finding a good financial dissertation topic is essential to blend your interests with the current trends in the financial landscape. We suggest the following tips that can help you pick the perfect dissertation topic:

1. Identify your interests and strengths 

2. Check for current relevance

3. Feedback from your superiors

4. Finalise the research methods

5. Gather the data

6. Work on the outline of your dissertation

7. Make a draft and proofread it

In this blog, we have discussed the importance of finance thesis topics and provided valuable writing tips and tips for finding the right topic, too. We have also presented a list of topics within various subfields of Finance. With this, we hope you have great ideas for finance dissertations. Good luck with your finance research journey!

Frequently Asked Questions

How do i research for my dissertation project topics in finance, what is the best topic for dissertation topics for mba finance, what is the hardest finance topic, how do i choose the right topic for my dissertation in finance, where can i find a dissertation topic in finance.

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A MIXED METHODS ANALYSIS OF ADOLESCENT GIRLS’ DIET QUALITY, DIET PRACTICES, NUTRITION STATUS, AND IDEAS FOR IMPROVING DIET IN THE CONTEXT OF THE DUAL BURDEN OF MALNUTRITION IN AN URBAN INFORMAL SETTLEMENT IN KENYA

Add to collection, downloadable content.

• Affiliation: Gillings School of Global Public Health, Department of Nutrition
• Adolescent girls undergoing rapid growth and development living in urban informal settlements where food environments are changing, are particularly sensitive to the nutrition transition that comes with urbanization.We combined dietary, biomarker, and anthropometric data to define the dual burden of malnutrition (DBM) and assess associations between diet quality, nutrition status, and sociodemographic characteristics. We characterized the diets of adolescent girls and tested associations between household hunger, household assets, food behaviors, and diet quality using mixed qualitative and quantitative measures. Ultimately, we integrated the priorities of adolescent girls into a conceptual model of the factors that influence their dietary decisions.Over half of the girls in our sample had at least one form of malnutrition. The prevalence of any DBM was 11% with micronutrient malnutrition coexisting with abdominal obesity more than with undernutrition. Adolescent girls consumed a small number of food groups overall, including a small number of foods protective against (NCD protect) and contributing to the risk (NCD risk) for non-communicable disease. We found no associations between dietary quality and nutrition status but found evidence of a dietary DBM—overall low consumption of iron rich foods, low diet diversity, and daily consumption of NCD risk foods.Adolescent girls with moderate or severe hunger had higher diet quality, driven by the lower consumption of NCD risk foods compared to girls with little to no household hunger. Adolescent girls who more frequently ate food outside the home had lower diet quality. In addition to hunger, money and food safety were the main decision-making levers for adolescents. Adolescent girls wanted to eat a more balanced diet, but financial constraints were a main barrier. Adolescents identified concerns around food safety and food preparation at schools and roadside vendors. Adolescent girls suggested the use of gardens at school to address the problems of diet quality and food safety quality. Adolescents wanted to co-learn with their peers, teachers, and parents through group knowledge sharing and active learning activities to improve nutrition and wanted to be asked about their ideas for improving their diet.
• nutrition transition
• mixed methods
• Public health
• household hunger
• urban informal settlements
• adolescent nutrition
• https://doi.org/10.17615/86m3-w563
• Dissertation
• In Copyright - Educational Use Permitted
• Martin, Stephanie L.
• Adair, Linda
• Gordon-Larsen, Penny
• Meyer, Katie
• Thompson, Amanda L.
• Doctor of Philosophy
• University of North Carolina at Chapel Hill Graduate School

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New method to reveal what drives brain diseases

The brain is often referred to as a "black box" -- one that's difficult to peer inside and determine what's happening at any given moment. This is part of the reason why it's difficult to understand the complex interplay of molecules, cells and genes that underly neurological disorders. But a new CRISPR screen method developed at Scripps Research has the potential to uncover new therapeutic targets and treatments for these conditions.

The method, outlined in a study published in Cell on May 20, 2024, provides a way to rapidly examine the brain cell types linked to key developmental genes at a scale never done before -- helping unravel the genetic and cellular drivers of different neurological diseases.

"We know that certain genetic variations in our genome can make us vulnerable or resilient towards different diseases, but which specific cell types are behind a disease? Which brain regions are susceptible to the genome mutations in those cells? These are the kinds of questions we're trying to answer," says senior author Xin Jin, PhD, an assistant professor in the Department of Neuroscience at Scripps Research. "With this new technology, we want to build a more dynamic picture across brain region, across cell type, across the timing of disease development, and really start understanding how the disease happened -- and how to design interventions."

Thanks to over a decade's efforts in human genetics, scientists have had access to long lists of genetic changes that contribute to a range of human illnesses, but knowing how a gene causes a disease is very different than knowing how to treat the illness itself. Every risk gene may impact one or several different cell types. Comprehending how those cell types -- and even individual cells -- impact a gene and affect disease progression is key to understanding how to ultimately treat that disease.

This is why Jin, along with the study's first author, Xinhe Zheng, a PhD candidate and the Frank J. Dixon Graduate Fellow at Scripps Research, co-invented the new technique, named in vivo Perturb-seq. This method leverages CRISPR-Cas9 technology and a readout, single-cell transcriptomic analysis, to measure its impact on a cell: one cell at a time. Using CRISPR-Cas9, scientists can make precise changes to the genome during brain development, and then closely study how those changes affect individual cells using single-cell transcriptomic analysis -- for tens of thousands of cells in parallel.

"Our new system can measure individual cells' response after genetic perturbations, meaning that we can paint a picture of whether certain cell types are more susceptible than others and react differently when a particular mutation happens," Jin says.

Previously, the method for introducing the genetic perturbations into the brain tissue was very slow, often taking days or even weeks, which created suboptimal conditions for studying gene functions related to neurodevelopment. But Jin's new screening method allows for rapid expression of perturbation agents in living cells within 48 hours -- meaning scientists can quickly see how specific genes function in different types of cells in a very short amount of time.

The method also enables a level of scalability that was previously impossible -- the research team was able to profile more than 30,000 cells in just one experiment, 10-20 times accelerated from the traditional approaches. In many of the brain regions they examined, such as the cerebellum, they were able to collect tens of thousands of cells that previous labeling methods could not reach.

In a pilot study using this new technology, Jin and her team's interest was piqued when they saw a genetic perturbation elicit different effects when perturbed in different cell types. This is important because those impacted cell types are the sites of action for particular diseases or genetic variants. "Despite their smaller population representations, some low-abundant cell types may have a stronger impact than others by the genetic perturbation, and when we systematically look at other cell types across multiple genes, we see patterns. That's why single-cell resolution -- being able to study every cell and how each one behaves -- can offer us a systematic view," Jin says.

With her new technology in hand, Jin plans to apply it to better understand neuropsychiatric conditions and how certain cell types correspond with various brain regions. Moving forward, Jin says she's excited to see this type of technology applied to additional cell types in other organs in the body to better understand a wide range of diseases in terms of tissue, development and aging.

• Brain Tumor
• Sickle Cell Anemia
• Nervous System
• Brain Injury
• Neuroscience
• Disorders and Syndromes
• Brain-Computer Interfaces
• Brain damage
• Sleep disorder
• Endocrinology
• Gene therapy
• Adult stem cell

Story Source:

Materials provided by Scripps Research Institute . Note: Content may be edited for style and length.

Journal Reference :

• Xinhe Zheng, Boli Wu, Yuejia Liu, Sean K. Simmons, Kwanho Kim, Grace S. Clarke, Abdullah Ashiq, Joshua Park, Jiwen Li, Zhilin Wang, Liqi Tong, Qizhao Wang, Keerthi T. Rajamani, Rodrigo Muñoz-Castañeda, Shang Mu, Tianbo Qi, Yunxiao Zhang, Zi Chao Ngiam, Naoto Ohte, Carina Hanashima, Zhuhao Wu, Xiangmin Xu, Joshua Z. Levin, Xin Jin. Massively parallel in vivo Perturb-seq reveals cell-type-specific transcriptional networks in cortical development . Cell , 2024; DOI: 10.1016/j.cell.2024.04.050

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Research Topics & Ideas: Psychology

100+ Psychology Topic Ideas To Fast-Track Your Research

If you’re starting out on the dissertation or thesis journey for your psychology degree, the very first challenge you’ll face is finding a solid research topic . In this post, we’ll help get the topic ideation process started by providing a meaty list of research ideas, spanning a range of psychology sub-disciplines. We’ll also look at some examples from actual theses and dissertations to give you an idea of what these look like in the real world.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps (which we’ll explain a little later). Therefore, it’s important to recognise that this post is only the first step in finding a high-quality psychology-centred research topic. To develop a research topic, you’ll need to identify a clear and convincing research gap , and a viable plan of action to fill that gap.

If this all sounds a bit intimidating, be sure to check out our free dissertation mini-course , which covers the process of writing a dissertation or thesis from A-Z. You can also sign up for our free webinar that explores how to find a high-quality research topic. Alternatively, if you’d like hands-on help, have a look at our 1-on-1 coaching service .

Overview: Psychology-Related Topics

• How to find a research topic (video)
• Behavioural psychology
• Clinical psychology
• Cognitive psychology
• Developmental psychology
• Educational psychology
• Forensic psychology
• Social psychology
• Sports psychology
• Examples of actual dissertation topics
• Free Webinar : Topic Ideation 101
• Where to get extra help

How To Find A Research Topic

In the video below, we explain how to find suitable research ideas (in psychology or any field), and how to then refine those into well-articulated potential topics for your dissertation or thesis. We also discuss a few important evaluation criteria to help you make the right choice for your project.

Below you’ll find a list of research ideas to get your thinking started. Please note that these research topic ideas are intentionally broad and generic, so you will need to refine them a fair deal using the techniques we discussed in the video above.

We’ve grouped the topic ideas based on a few popular areas of psychology to make it a little easier for you to find something in your particular field of interest. That said, there is naturally some overlap between topics, so keep this in mind.

Research Ideas: Behavioural Psychology

• Cultural variation in behaviour and mental health of adolescents during a disaster: a case study
• The impact of parental drug use and risky behaviour on early child development
• The effects of video game violence on aggressive behaviour among teenage boys in school
• The relationship between adverse childhood experiences and adult risk-seeking behaviour
• The impact of physical exercise on anxiety and health-harming behaviour
• The relationship between personality traits and addiction behaviour
• The effects of reinforcement schedules on decision-making and associative learning
• The effects of daily mindfulness practice on stress and anxiety in middle-aged women
• The use of behavioural interventions in the treatment of eating disorders in poorer communities
• Understanding implicit cognitive processes involved in the over-consumption of fast food
• The use of cognitive behavioural therapy for alcohol addiction treatment
• The impact of extensive technology use in children on long-term attention and focus
• The impact of social media on self-destructive behaviour and poor mental health outcomes
• Exploring the role of sleep and sleep deprivation on healthy behaviours

Research Ideas: Clinical Psychology

• The use of mindfulness-based approaches in the treatment of anxiety disorders among college students
• The use of technology in the delivery of psychological services in war-torn countries
• The effectiveness of dialectical behaviour therapy for borderline personality disorder
• The use of virtual reality technology in the treatment of phobias and PTSD among war veterans
• The role of childhood adversity on adult mental health in immigrant populations in the USA
• The role of genetics and epigenetics in the development of bipolar disorder in Pakistani women: an integrative review
• The effectiveness of pharmacotherapy in the treatment of social anxiety among hikikomori in Japan
• The perception of healthcare workers and patients on the use of teletherapy for the delivery of psychological services
• The impact of social support on mental health outcomes among single parents.
• The effectiveness of integrative therapeutic approaches in the treatment of schizophrenia
• The effectiveness of trauma-focused therapies on post-traumatic growth in domestic abuse survivors
• The role and use of cognitive-behavioural therapy for depression among first-generation students
• The effectiveness of family therapy in addressing childhood trauma and depression
• The impact of cultural mistrust on the diagnosis and treatment of mental health issues in culturally-diverse populations
• The effectiveness of group therapy on post-traumatic stress symptoms among survivors of sexual assault

Research Ideas: Cognitive Psychology

• The impact of lifelong aerobic exercise on cognitive function in old age
• The effects of evening screen use on cognitive development in preschool children
• The impact of sleep deprivation on decision-making among graduate students
• The use of neuroimaging to understand the neural basis of memory retrieval
• The effect of conservative religious homes on social functioning in LGBT+ adolescents
• The role of positive emotions in working memory among high school learners
• The neural basis of decision-making and problem-solving during undergraduate statistic assessments
• The neural basis of language processing among adults learning English as a second language
• The role of technological tools in improving working memory in older adults
• The role of attention in emotional face processing among adult males
• The impact of depression on cognitive function during ageing The impact of daily meditation and mindfulness practice on cognitive function
• The relationship between increased protein intake and improved cognitive function
• The effects of stress on cognitive function among final-year learners

Research Ideas: Developmental Psychology

• The impact of maternal affection on cognitive, social, and emotional development
• The effects of parenting styles on children’s executive function
• The impact of late-night screen use on child development
• The role of digital play on child development outcomes
• Exploring the impact of poverty on early child development in Brazil
• The trauma-informed care as moderating the impact of trauma on child development
• Evaluating the relationship between peer relationship quality and child social development
• The impact of child-targeted media and advertising on child behavioural development
• The role of parental attachment in child resilience
• The moderating impact of culture on bullying and child social development
• The impact of single-parenting on child development in India
• The impact of early educational interventions on child socio-emotional development
• The impact of digital technology use on adolescent development and mental health
• The impact of socioeconomic status on child executive function
• The role of genetics and epigenetics on child neurodevelopmental outcomes linked to depression

Need a helping hand?

Research Ideas: Educational Psychology

• The relationship between self-regulated learning and academic performance in asynchronous versus synchronous learning environments
• Exploring effective parental involvement strategies and their impact on student achievement
• The role of intrinsic motivation in formative assessment in the classroom
• The impact of classroom management and practice on student learning and behaviour
• University students’ preference regarding online learning environments
• The effects of gentrification on student achievement in traditionally poor neighbourhoods
• The impact of teacher expectations and academic self-concept on K12 student mathematics performance
• The use and effectiveness of game-based learning in a high school biology classroom
• The impact of prejudice on the relationship between student motivation and academic performance among Black university students
• The impact of culture on second language English student learning preferences
• The effects of student self-efficacy and engagement on academic performance in secondary school mathematics
• The role of metacognition in learning musicality in hip hop
• The role of small group instruction on teacher efficacy and stress in early childhood education
• The perception and use of multimedia among high school biology teachers in France
• The use of augmented reality applications and its impact on student learning, motivation and attitude

Research Ideas: Forensic Psychology

• The impact of trauma on the psychological functioning of police officers and first responders
• Understanding cultural considerations during forensic psychological assessment and treatment of trauma
• Ethical considerations of the use of AI in forensic psychology in the legal system
• The psychological factors related to recidivism among white collar female offenders in the USA
• The psychological factors related to false confessions among juveniles
• Understanding the use of psychological assessment in the evaluation of eyewitness testimony in criminal courts in England
• The impact of trauma on the reflective functioning of adult female sexual assault victims
• The use and effectiveness of psychological interventions in reducing recidivism among non-violent criminals
• The impact of domestic violence on the mental health and forensic evaluation of men
• Exploring the ethical considerations and use of behavioural analysis in the study of criminal behaviour
• The use and limitations of neuropsychological assessment in forensic evaluations
• The use of social media forensics in evaluating criminal behaviour in violent crimes
• The racialised use of psychological assessment in the evaluation of competency to stand trial in Canada
• Exploring the use and availability of virtual reality technologies in forensic psychology in Spain
• The impact of motivational interviewing-based interventions among criminalized drug users

Research Ideas: Social Psychology

• The impact of prejudice and discrimination on social behaviour among African immigrants in South Africa
• The impact of social networks on behaviour and well-being among young adult females
• The effects of social identity on non-conformity in University students
• The effects of group dynamics on risk-seeking behaviour in adult men
• The impact of social media on the quality of interpersonal relationships among high school learners
• The impact of parental emotional intelligence on pro-social behaviour in children and adolescents
• The effects of conformity and deviance on social attitudes and behaviour during a global recession
• The effects of Tik Tok on social comparison and self-esteem among teenage girls
• Understanding gendered differences in social influence and algorithms on impulsive decision-making
• The effects of social support on mental health among healthcare workers in the UK
• The effects of gender roles on social behaviour among trans teens
• The impact of perceived power and social status on the behaviour of social media influencers
• The impact of social norms on prosocial behaviour among women
• The effects of community participation on aggression and violence in middle-aged men
• The impact of culture and gender on social behaviour during the COVID-19 pandemic

Research Ideas: Sports Psychology

• The moderating role of cultural factors on the relationship between mental health and sports performance in team sports
• The role of mindfulness practice in addressing stress and anxiety in young national athletes
• The relationship between team cohesion and performance in cricket teams
• The effect of transformational leadership on female sports teams in Canada
• The effect of positive self-talk on athletic performance and motivation among Olympic athletes
• The use and perception of hypnosis in New Zealand team sports Understanding stress and burnout in University team athletes
• The efficacy of personalised nutrition and diet on athletic performance among sprinters
• Exploring mental preparation techniques and their effect on athletic motivation and resilience among team-sport athletes
• Exploring the perception and understanding of goal-setting characteristics on athletic performance among team coaches
• The effects of motivational feedback on the performance of female gymnasts
• The perception and use of visualization and imagery among coaches as a means to enhance sport performance
• The impact of sports injuries on mental health and recovery in high school athletes
• The moderating role of sleep on mental toughness and sports performance in Olympic athletes
• The use and perception of technology in sports training and performance in little league softball

Psychology-Related Dissertations & Theses

While the ideas we’ve presented above are a decent starting point for finding a research topic in psychology, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together in practice.

Below, we’ve included a selection of research projects from various psychology degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• Effects of a Patient Question Prompt List on Outpatient Palliative Care Appointments (McDarby, 2022)
• The role of affect and exercise goals in physical activity engagement in younger and older adults (Stojanovic, 2022)
• Lay Theories about Whether Emotion Helps or Hinders Reasoning and Well-being (Karnaze, 2022)
• The effects of blast-induced traumatic brain injury on two transgenic models of Alzheimer’s Disease (Gann, 2020)
• Understanding the parental mind: Examining the stability of parental reflective functioning across the birth of a child and associations with maternal mind-mindedness (Pitzen, 2021)
• An investigation of ineffective ally behaviours (Collier, 2019)
• Response Inhibition-Related Beta Power: Distinguishing Cognitively Intact Elders by Risk for Alzheimer’s Disease (Evans, 2021)
• Recognition Memory of Extremely High-Frequency Words (Miller, 2019)
• The Relationship between Dementia Caregiver Burden and Caregiver Communications in a Memory Clinic Setting (Martin, 2021)
• Examination of Maternal Versus Paternal Ratings of Child Pre-Injury Functioning in Predicting Child Post-Traumatic Stress Symptoms (Sayer, 2021)
• Electromyography As A Means of Predicting The Rubber Hand Illusion (Teaford, 2021)
• Linking Diversity Climate and Feedback Seeking Through Interpersonal Processes and Race Effects (Flores, 2021)

Looking at these titles, you can probably pick up that the research topics here are far more specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Topic Ideation

Still unsure about how to find the right topic for your research project? Check out our private coaching services , where we work with psychology students on a 1:1 basis to help them find the perfect topic.

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10 Comments

Great insight

A very interesting site that offers a variety of options regarding research topics.

You’re most welcome

A good platform to get information

Amazing and interesting options 👌

Very useful but had not any field of research in health psychology

I feel honored going through this lovely stuff put together. Thank you so much

I need counseling psychology research topics

very empowering and insightful presentations. Can I be assisted in crafting a school psychology-related research topic about African context

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An Early Look at Black Voters’ Views on Biden, Trump and Election 2024

• Methodology 

Table of Contents

• Black voters consistently align with the Democratic Party
• Black voters prefer Biden in 2024 election, but some would replace both candidates
• Black voters’ views on Biden and Trump as presidents
• Black Americans’ policy priorities
• Acknowledgments 

Pew Research Center has a long history of conducting surveys that examine the views of American voters. This analysis of Black voters’ views on political party affiliation, policy priorities and 2024 presidential candidates relies on data from four of these studies.

Study 1: U.S. adults’ views on domestic policy priorities 

The first was conducted among 5,140 adults from Jan. 16 to Jan. 21, 2024, on Pew Research Center’s American Trends Panel (ATP). There were 759 Black adults in the sample, which included an oversample of non-Hispanic Black men. This survey provided the data on Black voters’ views on domestic policy priorities discussed in this report. For more information on this study, see its methodology and topline questionnaire .  

Study 2: U.S. adults’ views on foreign policy priorities 

The second was conducted among 3,600 adults from April 1 to April 7, 2024 on the Center’s ATP. There were 611 Black adults in the sample, which included an oversample of non-Hispanic Black men. This survey provided the data on Black voters’ views on foreign policy priorities discussed in this report. For more information on this study, see its methodology and topline questionnaire .  

Study 3: Trends in U.S. adults’ political party affiliation from 1994-2023 

The third used annual totals of data from Pew Research Center telephone surveys (1994-2018) and online surveys (2019-2023) among registered voters. All telephone survey data was adjusted to account for differences in how people respond to surveys on the telephone compared with online surveys. All online survey data was drawn from the Center’s ATP. This combination of surveys provided the data for Black voters’ political party affiliation trends. For more information on this study, see its methodology and the full report . Read more on how we adjusted for mode effects when combining telephone and online surveys .  

Study 4: U.S. adults’ views on the 2024 presidential election 

The fourth was conducted among 8,709 adults from April 8 to April 14, 2024 on Pew Research Center’s ATP. There was an oversample of non-Hispanic Black adults, for a total of 1,372 Black adults in the sample. This survey provided the data on Black voters’ views on Joe Biden, Donald Trump and the 2024 presidential election discussed in this report. For more information on this study, see its methodology and topline questionnaire .  

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May 21, 2024

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New thesis shows Lynch syndrome should be seen as a common condition

by Karolinska Institutet

Sophie Walton Bernstedt from the Gastroenterology and Rheumatology Unit at the Department of Medicine, Huddinge (MedH), is defending her thesis "Risk factors for colorectal cancer and the impact on life in Lynch syndrome," on 24 May, 2024. The main supervisor is Ann-Sofie Backman (MedH).

"We have investigated various risk factors associated with the development of colorectal cancer in Lynch syndrome and what it is like for these patients to live with a greatly increased cancer risk," says Walton Bernstedt.

"There is likely still a large number of patients yet to be identified with Lynch syndrome. It is necessary to identify these patients in time in order to prevent and detect early stage cancer by preventive procedures.

"By implementing routines in follow-up services for this group of patients it is possible to create optimal conditions for early detection. These routines include bowel preparation , but also the quality of the procedure, adaptation to genetic risk but also accommodating psychosocial needs among patients.

"Lynch syndrome no longer should be considered a rare condition. By increasing the knowledge of hereditary cancer in the public we hope to increase the efficiency of cancer preventive measures ."

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Peer Reviewed

US-skepticism and transnational conspiracy in the 2024 Taiwanese presidential election

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Taiwan has one of the highest freedom of speech indexes while it also encounters the largest amount of foreign interference due to its contentious history with China. Because of the large influx of misinformation, Taiwan has taken a public crowdsourcing approach to combatting misinformation, using both fact-checking ChatBots and public dataset called CoFacts. Combining CoFacts with large-language models (LLM), we investigated misinformation across three platforms (Line, PTT, and Facebook) during the 2024 Taiwanese presidential election. We found that most misinformation appears within China-friendly political groups and attacks US-Taiwan relations through visual media like images and videos. A considerable proportion of misinformation does not question U.S. foreign policy directly. Rather, it exaggerates domestic issues in the United States to create a sense of declining U.S. state capacity. Curiously, we found misinformation rhetoric that references conspiracy groups in the West.

Program in Quantitative Social Science, Dartmouth College, USA

Department of Political Science, University of Nevada Las Vegas, USA

Department of Computer Science, Barnard College, USA

Research Questions

• What are the misinformation narratives surrounding the election in Taiwan and how do they target international relations with the United States?
• What geographical or temporal patterns emerge from misinformation data?
• Who are the targets of these misinformation narratives and through what modalities?

Essay Summary

• We leveraged a dataset of 41,291 labeled articles from Line, 911,510 posts from Facebook, and 2,005,972 posts and comments from PTT to understand misinformation dynamics through topic modeling and network analysis.
• The primary form of misinformation is narratives that attack international relations with the United States (henceforth referred to as US-skepticism), specifically referencing the economy, health policy, the threat of war through Ukraine, and other U.S. domestic issues.
• Temporal and spatial evidence suggests VPN-based coordination, focused on U.S. issues and addresses.
• Misinformation is most common among pan-Blue and ROC identity groups on social media and is spread through visual media. These groups share many themes with conspiracy groups in Western countries.
• Our study shows the prevalence of misinformation strategies using visual media and fake news websites. It also highlights how crowdsourcing and advances in large-language models can be used to identify misinformation in cross-platform workflows.

Implications

According to Freedom House, Taiwan has one of the highest indices for free speech in Asia (Freedom House, 2022). Additionally, due to its contentious history with China, it receives significant foreign interference and misinformation, especially during its presidential elections. Due to the large influx of dis- and misinformation, Taiwan has developed many strategies to counter misleading narratives, including fact-checking ChatBots on its most popular chatroom app (Chang et al., 2020). Under this information environment, the 2024 Taiwanese presidential election emerged as one of the most divisive elections in Taiwan’s history, featuring at one point a doubling of presidential candidates in a typically two-party race, from two to four. As such, Taiwan is regarded as a “canary for disinformation” against elections in 2024, as a first indicator to how foreign interference may take place in other democracies (Welch, 2024).

In this paper, we study the misinformation ecosystem in Taiwan starting a year prior to the election. First, our findings highlight the interaction between misinformation and international relations. As was reported in The Economist and The New York Times , a considerable portion of the misinformation spread in Taiwan before the 2024 election is about US-skepticism, which aims at undermining the reputation of the United States among Taiwanese people (“China is flooding Taiwan with disinformation,” 2023; Hsu, Chien, and Myers, 2023). This phenomenon is significant because it does not target specific candidates or parties in the election but may indirectly influence the vote choice between pro- and anti-U.S. parties. Given the US-China global competition and the Russia-Ukraine ongoing conflict, the reputation of the United States is crucial for the strength and reliability of democratic allies (Cohen, 2003). Hence, it is not surprising that misinformation about the United States may propagate globally and influence elections across democracies. However, our findings surprisingly show that US-skepticism also includes a considerable number of attacks on U.S. domestic politics. Such content does not question the U.S. foreign policy but undermines the perceived reliability and state capacity of the United States. Here, s tate capacity is defined as whether a state is capable of mobilizing its resources to realize its goal, which is conceptually different from motivation and trust.

US-skepticism is commonly characterized as mistrusting the motivations of the United States, as illustrated in the Latin American context due to long histories of political influence (see dependency theory; Galeano, 1997), but our findings suggest that perceived U.S. state capacity is also an important narrative. As most foreign disinformation arises from China, this indicates a greater trend where authoritarian countries turn to sharp power tactics to distort information and defame global competitors rather than winning hearts and minds through soft power. Sharp power refers to the ways in which authoritarian regimes project their influence abroad to pierce, penetrate, or perforate the informational environments in targeted countries (Walker, 2018). In Taiwan’s case, China may not be able to tell China’s story well, but can still influence Taiwanese voters by making them believe that the United States is declining. Our findings suggest that future work analyzing the topics and keywords of misinformation in elections outside the United States should also consider the US-skepticism as one latent category, not just the politicians and countries as is common with electoral misinformation (Tenove et al., 2018). These findings are corroborated by narratives identified by a recent report including drug issues, race relations, and urban decay (Microsoft Threat Intelligence, 2024).

Additionally, our research investigates both misinformation and conspiracy theories, which are closely related. Whereas misinformation is broadly described as “false or inaccurate information” (Jerit & Zhao, 2020), a conspiracy theory is the belief that harmful events are caused by a powerful, often secretive, group. In particular, conspiracy communities often coalesce around activities of “truth-seeking,” embodying a contrarian view toward commonly held beliefs (Enders et al., 2022; Harambam, 2020; Konkes & Lester, 2017). Our findings also provide evidence of transnational similarities between conspiracy groups in Taiwan and the United States. Whereas the domestic context has been explored (Chen et al., 2023; Jerit & Zhao, 2020), the intersection of partisanship and conspiracy groups as conduits for cross-national misinformation flow deserves further investigation.

Second, our findings reemphasize that an IP address is not a reliable criterion for attributing foreign intervention.  Previous studies on Chinese cyber armies show that they use a VPN for their activities on Twitter (now X) (Wang et al., 2020) and Facebook (Frenkel, 2023). Commonly known as the Reddit of Taiwan, PTT is a public forum in Taiwan that by default contains the IP address of the poster. Our analysis of PTT located a group of accounts with US IP addresses that have the same activity pattern as other Taiwan-based accounts. Therefore, it is likely that these accounts use VPN to hide their geolocation. Our results provide additional evidence that this VPN strategy also appears on secondary and localized social media platforms. Our results suggest that the analysis of the originating location of misinformation should not be based entirely on IP addresses.

Third, our findings show that text is far from the only format used in the spread of misinformation. A considerable amount of misinformation identified on Facebook is spread through links (47%), videos (21%), and photos (15%). These items may echo each other’s content or even feature cross-platform flow. Proper tools are needed to extract and juxtapose content from different types of media so that researchers can have a holistic analysis of the spread and development of misinformation (Tucker et al., 2018). Such tools are urgent since mainstream social media has adopted and highly encouraged short videos—a crucial area for researchers to assess how misinformation spreads across platforms in the upcoming year of elections. This understanding is also important for fact-check agencies because they must prepare for collecting and reviewing information on various topics found in multiple media types across platforms. Crowdsourcing, data science, expert inputs, and international collaboration are all needed to deal with multi-format misinformation environments.

With prior studies showing that the aggregated fact checks (known as wisdom of the crowds) perform on par with expert ratings (see Arechar et al., 2023; Martel et al., 2023), our case study also evidences how crowdsourcing and LLM approaches can not only quickly fact-check but also summarize larger narrative trends. In Taiwan, this takes form of the CoFacts open dataset, which we use to identify misinformation narratives. CoFacts is a project initiated by g0v (pronounced “gov zero”), a civic hacktivism community in Taiwan that started in 2012. CoFacts started as a fact-checking ChatBot that circumvents the closed nature of chatroom apps, where users can forward suspicious messages or integrate the ChatBot into private rooms. These narratives are then sent to a database. Individual narratives are subsequently reviewed by more than 2,000 volunteers, including teachers, doctors, students, engineers, and retirees (Haime, 2022). As a citizen-initiated project, it is not affiliated with any government entity or party.

Crucially, these reviews provide valuable labels that are used to train AI models and fine-tune LLMs. The dataset is available open source on the popular deep-learning platform HuggingFace. Just as AI and automation can be used to spread misinformation (Chang, 2023; Chang & Ferrara, 2022; Ferrara et al., 2020; Monaco & Woolley, 2022), it can also help combat “fake news” through human-AI collaboration.

Finding 1: The primary form of misinformation  is narratives that attack international relations with the United States (henceforth referred to as US-skepticism), specifically referencing the economy, health policy, the threat of war through Ukraine, and other U.S. domestic issues.

The status quo between China and Taiwan is marked by Taiwan’s self-identification as a sovereign state, which is in contrast to China’s view of Taiwan as part of its territory under the “One China” policy. As brief context, China has claimed Taiwan as its territory since 1949, but the United States has helped maintain the status quo and peace after the outbreak of the Korean War in 1950. After democratization in 1987, Taiwan’s politics have been dominated by a clear blue-green division. The blue camp is led by Kuomintang (Nationalist Party, KMT hereafter), the founding party of the Republic of China (ROC, the formal name of Taiwan’s government based on its constitution) who was defeated by the People’s Republic of China (PRC) and retreated to Taiwan in 1949. The green camp is led by the Democratic Progressive Party (DPP), which pursues revising the ROC Constitution and changing the country’s name to Taiwan. The political cleavage between the blue and green camps is dictated by Taiwan’s relationship with the PRC and the United States. The blue camp’s position is that the PRC and ROC are under civil war but belong to the same Chinese nation, and thus the blue camp appreciates military support from the United States while enhancing economic and cultural cooperation with the PRC. The green camp believes that the necessary conditions for Taiwan to be free and independent are to stand firmly with the United States and maintain distance from the PRC. After 2020, the two major camps’ insufficient attention to domestic and social issues caused the rise of nonpartisans and a third party, the Taiwan People’s Party (TPP or the white camp), which strategically avoids discussing foreign policies. In the 2024 election, the ruling DPP party (green) was reelected with 40% of votes for the third consecutive presidency (from 2016 to 2028), while KMT (blue) and TPP (white) received 33% and 26% of votes, respectively.

The U.S. “One China” policy since 1979 indicates that the United States opposes any change to the status quo unless it is solved peacefully. This has motivated the PRC to persuade Taiwanese citizens to support unification using misinformation targeted at China-friendly political groups, as the cost of unification would be greatly reduced if sufficient Taiwanese citizens opposed U.S. military intervention. This history between the United States and Taiwan serves as the foundation of US-skepticism. In the literature, US-skepticism in Taiwan is composed of two key psychological elements: trust and motivation (Wu & Lin, 2019; Wu, 2023). First, many Taiwanese no longer trust the United States after the United States switched diplomatic ties from Taiwan (ROC) to the PRC in 1979. Many blue-camp supporters doubt the commitment of the United States to send troops should China invade, per the Taiwan Relations Act (Wu & Lin, 2019). Second, Taiwanese citizens question Taiwan’s role as a proxy in a potential war with China instead of sincerely protecting democracy and human rights in Taiwan (Wu, 2023).

The CoFacts dataset contains 140,314 articles submitted by Line users, which are then fact-checked by volunteers as rumor (47%), not a rumor (21%), not an article (19%), and opinion (13%). Here, rumor is synonymous with misinformation. Using the CoFacts dataset, we trained a BERTopic model to identify 34 forms of misinformation and then ranked them by their overlap with the word “elections” in Mandarin Chinese (George & Sumathy, 2023; Nguyen et al., 2020). Table 1 shows the top nine narratives.

Many of these narratives are directly related to political parties or the democratic process. For instance, the highest-ranked topic is attacking the incumbent party (the DPP) at 18.1%, which contains 2,371 total posts. The subsequent misinformation topics focus on policy issues and specific narratives—international relations, issues of marriage and birth rate, vaccines, nuclear energy, biometrics, egg imports, and the war in Ukraine. These are known cleavage issues and overlap with the eight central concerns during the election cycle—economic prosperity, cross-strait affairs, wealth distribution, political corruption, national security, social reform/stability, and environmental protection (Achen & Wang, 2017; Achen & Wang, 2019; Chang & Fang, 2023).

We focus on the third type of misinformation, which is the relationship between Taiwan, the United States, and China. US-skepticism is not only the largest at 10,826 individual posts, but one flagged by journalists, policymakers, and politicians as one of the most crucial themes. This is a relatively new phenomenon in terms of proportion, which aims to sow distrust toward the United States (“China is flooding Taiwan with disinformation,” 2023). In contrast, questioning the fairness of process (i.e. ballot numbers) and policy positions (i.e. gay marriage) are common during elections. However, US-skeptical misinformation diverges in that there is no explicit political candidate or party targeted. By sampling the topic articles within this category and validating using an LLM-summarizer through the ChatGPT API, we identified three specific narratives:

(a) The United States and the threat of war: Ukraine intersects frequently in this topic, with videos of direct military actions. Example: “Did you hear former USA military strategist Jack Keane say the Ukrainian war is an investment. The USA spends just $66,000,000,000 and can make Ukraine and Russia fight…  Keane then mentions Taiwan is the same, where Taiwanese citizens are an ‘investment’ for Americans to fight a cheap war. The USA is cold and calculating, without any actual intent to help Taiwan!”

(b) Economic atrophy due to fiscal actions by the United States: These narratives focus on domestic policy issues in Taiwan such as minimum wage and housing costs. Example: “The USA printed 4 trillion dollars and bought stocks everywhere in the world, including Taiwan, and caused inflation and depressed wages. Be prepared!”

(c) Vaccine supply and the United States: While some narratives focus on the efficacy of vaccines, several describe the United States intentionally limiting supply during the pandemic. Example: “Taiwanese Dr. Lin is a leading scientist at Moderna, yet sells domestically at $39 per two doses, $50 to Israel. Taiwan must bid at least $60! The United States clearly does not value Taiwan.”

These narratives reveal a new element to US-skepticism: state capacity. As previously mentioned, state capacity is defined as whether a state is capable of mobilizing its resources to realize its goal. The Ukraine war and vaccine supply narratives both question the United States’ motivations in foreign policies and perceived trustworthiness. Meanwhile, the economic atrophy narrative is based on the United States’ domestic budgetary deficit and downstream impact on Taiwanese economy. These narratives frame U.S. state capacity as declining and imply that the United States could no longer realize any other commitment due to its lack of resources and capacity. The goal of such a narrative is to lower the Taiwanese audience’s belief that the United States will help. But such a narrative does not include keywords of its target group (e.g., Taiwan) nor the PCR’s goal (e.g., unification) and only works through framing and priming as an example of sharp power. 

The specific focus of misinformation narratives related to the United States is composed of Ukraine (28.8%), the economy and fiscal policies (33.1%), technology (25.2%), and vaccine supply (9.9%). Misinformation related to state capacity takes up approximately 52.4%, more than half of all narratives (see Figure A1, part a in the Appendix). In all narratives, political parties are only referenced 27.8% of the time with the DPP the primary target (26.2%), which is almost half of the proportion for state capacity. China is only mentioned in tandem with the United States in 38.4% of the posts (see Figure A1, part b in the Appendix).

Finding 2: Temporal and spatial evidence suggests VPN-based coordination, focused on U.S. issues and addresses.

Once we identified the top misinformation narratives using Line, we investigated information operations or coordination. Line is one of Taiwan’s most popular communication apps featuring chatrooms (similar to WhatsApp), with 83% usage. One limitation of Line is that although we can analyze message content, Line chatrooms can be seen as conversations behind “closed doors”—platforms cannot impose content moderation and researchers have no access to the users themselves nor to the private chatroom in which users engage with misinformation (Chang et al., 2020). PTT, on the other hand, provides a public forum-like environment in which users can interact. Figure 1 shows the co-occurrence network of users who post comments under the same forum. Each circle (node) represents a user who posts on PTT. If two users make mutual comments on more than 200 posts, then they are connected (form a tie). Intuitively, this means if two users are connected or “close” to each other by mutual connections, then they are likely coordinating or have extremely similar behaviors. The placement of the users reflects this and is determined by their connections.

Using the Louvain algorithm (Traag, 2015), a common method to identify communities on social networks, five communities emerged from our dataset. Each community is colored separately, with clear clusters, except for teal which is more integrated. In particular, the yellow cluster is significantly separate from the others. This means they share significant activity amongst their own community, but less so with other communities. This suggests premeditated coordination rather than organic discussion, as the users would have to target the same post with high frequency. Prior studies have shown analyzing temporal patterns can provide insight into information operations. Specifically, overseas content farms often follow a regular cadence, posting content before peak hours in Taiwan on Twitter (Wang et al., 2020) and YouTube (Hsu & Lin, 2023).

To better understand the temporal dynamics on PTT, we plotted the distribution of posts and comments over a 24-hour period. Specifically, we focused on the top two countries by volume—Taiwan and the United States. Figure 2, part a shows the time of posting. Taiwan’s activity increases from 6 in the morning until it peaks at noon (when people are on lunch break), then steadily declines into the night. In contrast, posts from the United States peak at midnight and 8 a.m. Taipei time, which corresponds to around noon and 8 p.m. in New York, respectively. This provides an organic baseline as to when we might expect people to post.

However, in Figure 2, part b, while the distribution for Taiwan (blue) remains unchanged, the peak for the United States (orange) occurs at the same time as Taiwan. One explanation is that users are responding to posts in Taiwan. The second is that users in Asia—potentially China—are using a VPN to appear as if they are in the United States. This coincides with a report by Meta Platforms that found large numbers of CCP-operated Facebook accounts and subsequently removed them (Frenkel, 2023).

The more curious issue is when considering the activity of the yellow group from Figure 1, the temporal pattern (green) shows a sharp increase in activity at 10 a.m., which then coincides with both the peaks for Taiwan (12) and the United States (22). The sudden burst of activity is consistent with prior findings on content farms from China, where posting behavior occurs when content farm workers clock in regularly for work (Wang et al., 2020). While it is difficult to prove the authenticity of these accounts, the structural and temporal aspects suggest coordination. Figure A2 in the appendix shows further evidence of coordination through the frequency distribution of counts for co-occurring posts. For the US-based group, a distribution akin to a power law appears, commonly found within social systems (Adamic & Huberman, 2000; Chang et al., 2023; Clauset et al., 2009). In contrast, the coordinated group features a significantly heavier tail, with a secondary, “unnatural,” peak at around 15 co-occurrences.

To better understand the content of these groups, Table A1 shows the summary of comments of each group and the originating post, using a large-language model for abstractive summarization (see Methods). We report the top points for comments and posts in Table A1. The coordinated community focuses on businessman Terry Gou, who considered running as a blue-leaning independent. The comments attack the incumbent DPP and their stance toward foreign policy. One popular post features President Tsai’s controversial meeting with Kevin McCarthy, then the Speaker of the U.S. House of Representatives. When a journalist asked McCarthy if he would “invite President Tsai to Congress… or… Washington,” McCarthy replied, “I don’t have any invitation out there right now. Today we were able to meet her as she transits through America, I thought that was very productive.” While this was positively framed, the title of the post itself was translated as “McCarthy will not invite Tsai to the United States” (Doomdied, 2023). This takes on a common tactic in misinformation where statements are intentionally distorted to produce negative framings of a particular candidate.

Comments from U.S. IP addresses between 11 a.m. and 2 p.m. focus on the potential alliance between the KMT and TPP. These posts are KMT-leaning with criticism toward both Lai and Ko, who are two oppositional candidates to the KMT. Some users argue that while the Chinese Communist Party (CCP) is a negative force, the United States is not automatically a positive force, as the United States does not explicitly support Taiwan’s international recognition or economic integration. In general, both posts and comments express that Taiwan should not rely too heavily on either China or the United States. This echoes the element of trust in the US-skepticism from the historical experience between ROC and the United States.

Both the U.S.-based and coordinated groups appear as blue-leaning audiences. What differentiates the first and second case is clear evidence of misinformation in the former through inaccurate framing. While US-skepticism may be a valid political stance, if the ambient information environment contains inaccurate information, then the democratic deliberative process is at risk. The case of US-skepticism is also one where stance and truth-value are often conflated, which may influence the process of voter deliberation.

Finding 3: Misinformation is most common among pan-Blue and ROC identity groups on social media and is spread through visual media. These groups share themes with conspiracy groups in Western countries.

Lastly, we considered the groups in which misinformation is common and the way misinformation is delivered. To do so, we queried CrowdTangle using the titles and links from the CoFacts dataset specific to US-Taiwan relations. This yielded 4,632 posts from public groups. Table 2 shows the groups ranked by the total number of misinformation articles identified.

There are two themes to these groups. First, they are often pan-Blue media outlets ( CTI News ), politician support groups ( Wang Yo-Zeng Support Group ), and ROC national identity groups ( I’m an ROC Fan ). The second type is somewhat unexpected but extremely interesting; it consists of groups that espouse freedom of speech ( Support CTI News and Free Speech ) and truth-seeking ( Truth Engineering Taiwan Graduate School ), topics often regarded as conspiracies. These topics are reminiscent of those in the West, such as the rhetoric around “fake news” and “truthers,” and paint a transnational picture of how misinformation coalesces. The second largest group is Trump for the World , which supports a politician known to court conspiracy theory groups such as QAnon. These groups also serve as the “capacity” element of US-skepticism, implying that the United States is in trouble for its domestic issues and is not a reliable partner to Taiwan. Furthermore, these groups have sizable followings—ranging from 8,279 to 43,481. We show the mean, as the total number of members fluctuated over our one-year period.

Lastly, we found that the majority of misinformation contains some form of multimedia, such as video (36%) or photos (15%), as shown in Figure 3, part a. Only 1% is a direct status. This may be due to CrowdTangle not surfacing results from normal users, but the ratio of multimedia to text is quite high. This aligns with extant studies showing the growth of multimodal misinformation (Micallef et al., 2022) and also user behavior in algorithm optimization (Chang et al., 2022; Dhanesh et al., 2022; Pulley, 2020)—posts with multimedia tend to do better than posts with only text.

Moreover, 47% contain a URL. Figure 3, part b shows one of the top domains containing misinformation (beyondnews852.com) after filtering out common domains such as YouTube. The site is named “Beyond News Net” and is visually formatted like a legitimate news site to increase the perceived credibility of information (Flanagin & Metzger, 2007; Wölker & Powell, 2021). The ability to rapidly generate legitimate-looking news sites as a tactic for misinformation may become a challenge for both media literacy and technical approaches to fight misinformation.

We utilized three unique misinformation datasets—Line, Facebook, and PTT—with dates between 01/12/2023 and 11/10/2023. The CoFacts dataset includes 140,193 received messages, 96,432 that have been labeled as misinformation, facts, opinion, or not relevant. Of this, 41,564 entries are misinformation. The CoFacts dataset is not only methodologically useful but exemplifies a crowd-sourced approach to fact-checking misinformation as an actual platform intervention. Moreover, it is public and transparent, allowing for replicability. Using a subset of articles and posts containing misinformation, we trained a topic model using BERTopic (Grootendorst, 2022). On a high level, using BERTopic involves five steps: 1) extract embeddings using a sentence transformer, 2) reduce dimensionality, 3) cluster reduced embeddings, 4) tokenize topics, and 5) create topic representation.

We conducted several trials, experimenting with parameters such as different sentence transformer models and minimum cluster sizes for the HDBSCAN clustering algorithm. The model used to extract topics for this paper utilized paraphrase-multilingual-MiniLM-L12-v2 for our sentence embedding model (Reimers & Gurevych, 2019), had a minimum cluster size of 80 for the clustering algorithm, and used tokenize_zh for our tokenizer. Our model yielded 34 topics. We also trained a model based on latent-Dirichlet allocation (LDA) (Blei et al., 2003), but found the BERTopic results to be more interpretable. We then labeled all messages to indicate whether they included reference to the election or not, and ranked the topics by their election-related percentage to measure electoral salience. For our subsequent analysis, we focused on topic 3 (see Table 1), which captures general discourse about the relations between the United States, China, and Taiwan.

The Facebook dataset was extracted using CrowdTangle. We queried posts containing links and headlines from topic 3. We also cross-sectioned these links and headlines with a general election-based dataset with 911,510 posts. This yielded a total of 4,632 of posts shared on public Facebook groups and 227,125 engagements. Due to privacy concerns, it is not possible to obtain private posts from users on their own Facebook timelines, private groups, or messages. However, public groups are a good proxy for general discourse, in addition to providing ethnic or partisan affiliations via their group name (Chang & Fang, 2023). In other words, while CoFacts provides the misinformation narratives, Facebook public groups give insight into the targets of misinformation.

Lastly, we scraped PTT using Selenium. Commonly known as the Reddit of Taiwan, PTT is unique in that it contains the IP address of the poster, though this could be shrouded by proxy farms or VPNs. First, we scraped all posts that contained reference to the United States and the election, which yielded 22,576 posts and 1,983,396 comments, all with IP addresses, addresses provided by PTT, and the time of posting. We expanded the scope of this analysis as we were interested in the general discourse directly related to the United States, and the geospatial and temporal patterns that arose. 

Due to the large amount of data, there are three general approaches we could have taken—local extractive summarization with LLMs, local abstractive summarization with LLMs, and server-based abstractive summarization (such as ChatGPT). Local extractive summarization is a method that embeds each of the input sentences and then outputs five of the most representative sentences. However, this approach is often too coarse, as it returns sentences with the highest centrality but does not summarize general themes across all the different comments or posts. On the other hand, abstractive summarization works by considering the entire context by ingesting many documents and then summarizing across them. This provides a more generalized characterization of key themes. However, the input size is the primary bottleneck as large-language models can only ingest so many tokens (or words), which also need to be held in memory—the case for our project, as we are summarizing more than 10,000 posts.

To circumvent these issues, we sampled the maximum number of posts or comments that could fit within 16,000 tokens and then made a query call using the ChatGPT API. This provided a summary based on a probabilistic sample of the posts and comments.

• / Elections

Cite this Essay

Chang, H. C. H., Wang, A. H. E., & Fang Y. S. (2024). US-skepticism and transnational conspiracy in the 2024 Taiwanese presidential election. Harvard Kennedy School (HKS) Misinformation Review . https://doi.org/10.37016/mr-2020-144

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No funding has been received to conduct this research.

Competing Interests

The authors declare no competing interests.

No human subjects were included in this study.

This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided that the original author and source are properly credited.

Data Availability

All materials needed to replicate this study are available via the Harvard Dataverse: https://doi.org/10.7910/DVN/5SPGDY . The Cofacts database is available on HuggingFace and Facebook via CrowdTangle per regulation of Meta Platforms.

Acknowledgements

H. C. would like to thank Brendan Nyhan, Sharanya Majumder, John Carey, and Adrian Rauschfleish for their comments. H. C. would like to thank the Dartmouth Burke Research Initiation Award.

All authors contributed equally.