thesis research questionnaire

How to Design Effective Research Questionnaires for Robust Findings

As a staple in data collection, questionnaires help uncover robust and reliable findings that can transform industries, shape policies, and revolutionize understanding. Whether you are exploring societal trends or delving into scientific phenomena, the effectiveness of your research questionnaire can make or break your findings.

In this article, we aim to understand the core purpose of questionnaires, exploring how they serve as essential tools for gathering systematic data, both qualitative and quantitative, from diverse respondents. Read on as we explore the key elements that make up a winning questionnaire, the art of framing questions which are both compelling and rigorous, and the careful balance between simplicity and depth.

Table of Contents

The Role of Questionnaires in Research

So, what is a questionnaire? A questionnaire is a structured set of questions designed to collect information, opinions, attitudes, or behaviors from respondents. It is one of the most commonly used data collection methods in research. Moreover, questionnaires can be used in various research fields, including social sciences, market research, healthcare, education, and psychology. Their adaptability makes them suitable for investigating diverse research questions.

Questionnaire and survey  are two terms often used interchangeably, but they have distinct meanings in the context of research. A survey refers to the broader process of data collection that may involve various methods. A survey can encompass different data collection techniques, such as interviews , focus groups, observations, and yes, questionnaires.

Pros and Cons of Using Questionnaires in Research:

While questionnaires offer numerous advantages in research, they also come with some disadvantages that researchers must be aware of and address appropriately. Careful questionnaire design, validation, and consideration of potential biases can help mitigate these disadvantages and enhance the effectiveness of using questionnaires as a data collection method.

Structured vs Unstructured Questionnaires

Structured questionnaire:.

A structured questionnaire consists of questions with predefined response options. Respondents are presented with a fixed set of choices and are required to select from those options. The questions in a structured questionnaire are designed to elicit specific and quantifiable responses. Structured questionnaires are particularly useful for collecting quantitative data and are often employed in surveys and studies where standardized and comparable data are necessary.

Advantages of Structured Questionnaires:

• Easy to analyze and interpret: The fixed response options facilitate straightforward data analysis and comparison across respondents.
• Efficient for large-scale data collection: Structured questionnaires are time-efficient, allowing researchers to collect data from a large number of respondents.
• Reduces response bias: The predefined response options minimize potential response bias and maintain consistency in data collection.

Limitations of Structured Questionnaires:

• Lack of depth: Structured questionnaires may not capture in-depth insights or nuances as respondents are limited to pre-defined response choices. Hence, they may not reveal the reasons behind respondents’ choices, limiting the understanding of their perspectives.
• Limited flexibility: The fixed response options may not cover all potential responses, therefore, potentially restricting respondents’ answers.

Unstructured Questionnaire:

An unstructured questionnaire consists of questions that allow respondents to provide detailed and unrestricted responses. Unlike structured questionnaires, there are no predefined response options, giving respondents the freedom to express their thoughts in their own words. Furthermore, unstructured questionnaires are valuable for collecting qualitative data and obtaining in-depth insights into respondents’ experiences, opinions, or feelings.

Advantages of Unstructured Questionnaires:

• Rich qualitative data: Unstructured questionnaires yield detailed and comprehensive qualitative data, providing valuable and novel insights into respondents’ perspectives.
• Flexibility in responses: Respondents have the freedom to express themselves in their own words. Hence, allowing for a wide range of responses.

Limitations of Unstructured Questionnaires:

• Time-consuming analysis: Analyzing open-ended responses can be time-consuming, since, each response requires careful reading and interpretation.
• Subjectivity in interpretation: The analysis of open-ended responses may be subjective, as researchers interpret and categorize responses based on their judgment.
• May require smaller sample size: Due to the depth of responses, researchers may need a smaller sample size for comprehensive analysis, making generalizations more challenging.

Types of Questions in a Questionnaire

In a questionnaire, researchers typically use the following most common types of questions to gather a variety of information from respondents:

1. Open-Ended Questions:

These questions allow respondents to provide detailed and unrestricted responses in their own words. Open-ended questions are valuable for gathering qualitative data and in-depth insights.

Example: What suggestions do you have for improving our product?

2. Multiple-Choice Questions

Respondents choose one answer from a list of provided options. This type of question is suitable for gathering categorical data or preferences.

Example: Which of the following social media/academic networking platforms do you use to promote your research?

• ResearchGate
• Academia.edu

3. Dichotomous Questions

Respondents choose between two options, typically “yes” or “no”, “true” or “false”, or “agree” or “disagree”.

Example: Have you ever published in open access journals before?

4. Scaling Questions

These questions, also known as rating scale questions, use a predefined scale that allows respondents to rate or rank their level of agreement, satisfaction, importance, or other subjective assessments. These scales help researchers quantify subjective data and make comparisons across respondents.

There are several types of scaling techniques used in scaling questions:

i. Likert Scale:

The Likert scale is one of the most common scaling techniques. It presents respondents with a series of statements and asks them to rate their level of agreement or disagreement using a range of options, typically from “strongly agree” to “strongly disagree”.For example: Please indicate your level of agreement with the statement: “The content presented in the webinar was relevant and aligned with the advertised topic.”

• Strongly Agree
• Strongly Disagree

ii. Semantic Differential Scale:

The semantic differential scale measures respondents’ perceptions or attitudes towards an item using opposite adjectives or bipolar words. Respondents rate the item on a scale between the two opposites. For example:

• Easy —— Difficult
• Satisfied —— Unsatisfied
• Very likely —— Very unlikely

iii. Numerical Rating Scale:

This scale requires respondents to provide a numerical rating on a predefined scale. It can be a simple 1 to 5 or 1 to 10 scale, where higher numbers indicate higher agreement, satisfaction, or importance.

iv. Ranking Questions:

Respondents rank items in order of preference or importance. Ranking questions help identify preferences or priorities.

Example: Please rank the following features of our app in order of importance (1 = Most Important, 5 = Least Important):

• User Interface
• Functionality
• Customer Support

By using a mix of question types, researchers can gather both quantitative and qualitative data, providing a comprehensive understanding of the research topic and enabling meaningful analysis and interpretation of the results. The choice of question types depends on the research objectives , the desired depth of information, and the data analysis requirements.

Methods of Administering Questionnaires

There are several methods for administering questionnaires, and the choice of method depends on factors such as the target population, research objectives , convenience, and resources available. Here are some common methods of administering questionnaires:

Each method has its advantages and limitations. Online surveys offer convenience and a large reach, but they may be limited to individuals with internet access. Face-to-face interviews allow for in-depth responses but can be time-consuming and costly. Telephone surveys have broad reach but may be limited by declining response rates. Researchers should choose the method that best suits their research objectives, target population, and available resources to ensure successful data collection.

How to Design a Questionnaire

Designing a good questionnaire is crucial for gathering accurate and meaningful data that aligns with your research objectives. Here are essential steps and tips to create a well-designed questionnaire:

1. Define Your Research Objectives : Clearly outline the purpose and specific information you aim to gather through the questionnaire.

2. Identify Your Target Audience : Understand respondents’ characteristics and tailor the questionnaire accordingly.

3. Develop the Questions :

• Write Clear and Concise Questions
• Avoid Leading or Biasing Questions
• Sequence Questions Logically
• Group Related Questions
• Include Demographic Questions

4. Provide Well-defined Response Options : Offer exhaustive response choices for closed-ended questions.

5. Consider Skip Logic and Branching : Customize the questionnaire based on previous answers.

6. Pilot Test the Questionnaire : Identify and address issues through a pilot study .

7. Seek Expert Feedback : Validate the questionnaire with subject matter experts.

8. Obtain Ethical Approval : Comply with ethical guidelines , obtain consent, and ensure confidentiality before administering the questionnaire.

9. Administer the Questionnaire : Choose the right mode and provide clear instructions.

10. Test the Survey Platform : Ensure compatibility and usability for online surveys.

By following these steps and paying attention to questionnaire design principles, you can create a well-structured and effective questionnaire that gathers reliable data and helps you achieve your research objectives.

Characteristics of a Good Questionnaire

A good questionnaire possesses several essential elements that contribute to its effectiveness. Furthermore, these characteristics ensure that the questionnaire is well-designed, easy to understand, and capable of providing valuable insights. Here are some key characteristics of a good questionnaire:

1. Clarity and Simplicity : Questions should be clear, concise, and unambiguous. Avoid using complex language or technical terms that may confuse respondents. Simple and straightforward questions ensure that respondents interpret them consistently.

2. Relevance and Focus : Each question should directly relate to the research objectives and contribute to answering the research questions. Consequently, avoid including extraneous or irrelevant questions that could lead to data clutter.

3. Mix of Question Types : Utilize a mix of question types, including open-ended, Likert scale, and multiple-choice questions. This variety allows for both qualitative and quantitative data collections .

4. Validity and Reliability : Ensure the questionnaire measures what it intends to measure (validity) and produces consistent results upon repeated administration (reliability). Validation should be conducted through expert review and previous research.

5. Appropriate Length : Keep the questionnaire’s length appropriate and manageable to avoid respondent fatigue or dropouts. Long questionnaires may result in incomplete or rushed responses.

6. Clear Instructions : Include clear instructions at the beginning of the questionnaire to guide respondents on how to complete it. Explain any technical terms, formats, or concepts if necessary.

7. User-Friendly Format : Design the questionnaire to be visually appealing and user-friendly. Use consistent formatting, adequate spacing, and a logical page layout.

8. Data Validation and Cleaning : Incorporate validation checks to ensure data accuracy and reliability. Consider mechanisms to detect and correct inconsistent or missing responses during data cleaning.

By incorporating these characteristics, researchers can create a questionnaire that maximizes data quality, minimizes response bias, and provides valuable insights for their research.

In the pursuit of advancing research and gaining meaningful insights, investing time and effort into designing effective questionnaires is a crucial step. A well-designed questionnaire is more than a mere set of questions; it is a masterpiece of precision and ingenuity. Each question plays a vital role in shaping the narrative of our research, guiding us through the labyrinth of data to meaningful conclusions. Indeed, a well-designed questionnaire serves as a powerful tool for unlocking valuable insights and generating robust findings that impact society positively.

Have you ever designed a research questionnaire? Reflect on your experience and share your insights with researchers globally through Enago Academy’s Open Blogging Platform . Join our diverse community of 1000K+ researchers and authors to exchange ideas, strategies, and best practices, and together, let’s shape the future of data collection and maximize the impact of questionnaires in the ever-evolving landscape of research.

Frequently Asked Questions

A research questionnaire is a structured tool used to gather data from participants in a systematic manner. It consists of a series of carefully crafted questions designed to collect specific information related to a research study.

Questionnaires play a pivotal role in both quantitative and qualitative research, enabling researchers to collect insights, opinions, attitudes, or behaviors from respondents. This aids in hypothesis testing, understanding, and informed decision-making, ensuring consistency, efficiency, and facilitating comparisons.

Questionnaires are a versatile tool employed in various research designs to gather data efficiently and comprehensively. They find extensive use in both quantitative and qualitative research methodologies, making them a fundamental component of research across disciplines. Some research designs that commonly utilize questionnaires include: a) Cross-Sectional Studies b) Longitudinal Studies c) Descriptive Research d) Correlational Studies e) Causal-Comparative Studies f) Experimental Research g) Survey Research h) Case Studies i) Exploratory Research

A survey is a comprehensive data collection method that can include various techniques like interviews and observations. A questionnaire is a specific set of structured questions within a survey designed to gather standardized responses. While a survey is a broader approach, a questionnaire is a focused tool for collecting specific data.

The choice of questionnaire type depends on the research objectives, the type of data required, and the preferences of respondents. Some common types include: • Structured Questionnaires: These questionnaires consist of predefined, closed-ended questions with fixed response options. They are easy to analyze and suitable for quantitative research. • Semi-Structured Questionnaires: These questionnaires combine closed-ended questions with open-ended ones. They offer more flexibility for respondents to provide detailed explanations. • Unstructured Questionnaires: These questionnaires contain open-ended questions only, allowing respondents to express their thoughts and opinions freely. They are commonly used in qualitative research.

Following these steps ensures effective questionnaire administration for reliable data collection: • Choose a Method: Decide on online, face-to-face, mail, or phone administration. • Online Surveys: Use platforms like SurveyMonkey • Pilot Test: Test on a small group before full deployment • Clear Instructions: Provide concise guidelines • Follow-Up: Send reminders if needed

Thank you, Riya. This is quite helpful. As discussed, response bias is one of the disadvantages in the use of questionnaires. One way to help limit this can be to use scenario based questions. These type of questions may help the respondents to be more reflective and active in the process.

Thank you, Dear Riya. This is quite helpful.

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Home » Questionnaire – Definition, Types, and Examples

Questionnaire – Definition, Types, and Examples

Table of Contents

Questionnaire

Definition:

A Questionnaire is a research tool or survey instrument that consists of a set of questions or prompts designed to gather information from individuals or groups of people.

It is a standardized way of collecting data from a large number of people by asking them a series of questions related to a specific topic or research objective. The questions may be open-ended or closed-ended, and the responses can be quantitative or qualitative. Questionnaires are widely used in research, marketing, social sciences, healthcare, and many other fields to collect data and insights from a target population.

History of Questionnaire

The history of questionnaires can be traced back to the ancient Greeks, who used questionnaires as a means of assessing public opinion. However, the modern history of questionnaires began in the late 19th century with the rise of social surveys.

The first social survey was conducted in the United States in 1874 by Francis A. Walker, who used a questionnaire to collect data on labor conditions. In the early 20th century, questionnaires became a popular tool for conducting social research, particularly in the fields of sociology and psychology.

One of the most influential figures in the development of the questionnaire was the psychologist Raymond Cattell, who in the 1940s and 1950s developed the personality questionnaire, a standardized instrument for measuring personality traits. Cattell’s work helped establish the questionnaire as a key tool in personality research.

In the 1960s and 1970s, the use of questionnaires expanded into other fields, including market research, public opinion polling, and health surveys. With the rise of computer technology, questionnaires became easier and more cost-effective to administer, leading to their widespread use in research and business settings.

Today, questionnaires are used in a wide range of settings, including academic research, business, healthcare, and government. They continue to evolve as a research tool, with advances in computer technology and data analysis techniques making it easier to collect and analyze data from large numbers of participants.

Types of Questionnaire

Types of Questionnaires are as follows:

Structured Questionnaire

This type of questionnaire has a fixed format with predetermined questions that the respondent must answer. The questions are usually closed-ended, which means that the respondent must select a response from a list of options.

Unstructured Questionnaire

An unstructured questionnaire does not have a fixed format or predetermined questions. Instead, the interviewer or researcher can ask open-ended questions to the respondent and let them provide their own answers.

Open-ended Questionnaire

An open-ended questionnaire allows the respondent to answer the question in their own words, without any pre-determined response options. The questions usually start with phrases like “how,” “why,” or “what,” and encourage the respondent to provide more detailed and personalized answers.

Close-ended Questionnaire

In a closed-ended questionnaire, the respondent is given a set of predetermined response options to choose from. This type of questionnaire is easier to analyze and summarize, but may not provide as much insight into the respondent’s opinions or attitudes.

Mixed Questionnaire

A mixed questionnaire is a combination of open-ended and closed-ended questions. This type of questionnaire allows for more flexibility in terms of the questions that can be asked, and can provide both quantitative and qualitative data.

Pictorial Questionnaire:

In a pictorial questionnaire, instead of using words to ask questions, the questions are presented in the form of pictures, diagrams or images. This can be particularly useful for respondents who have low literacy skills, or for situations where language barriers exist. Pictorial questionnaires can also be useful in cross-cultural research where respondents may come from different language backgrounds.

Types of Questions in Questionnaire

The types of Questions in Questionnaire are as follows:

Multiple Choice Questions

These questions have several options for participants to choose from. They are useful for getting quantitative data and can be used to collect demographic information.

• a. Red b . Blue c. Green d . Yellow

Rating Scale Questions

These questions ask participants to rate something on a scale (e.g. from 1 to 10). They are useful for measuring attitudes and opinions.

• On a scale of 1 to 10, how likely are you to recommend this product to a friend?

Open-Ended Questions

These questions allow participants to answer in their own words and provide more in-depth and detailed responses. They are useful for getting qualitative data.

• What do you think are the biggest challenges facing your community?

Likert Scale Questions

These questions ask participants to rate how much they agree or disagree with a statement. They are useful for measuring attitudes and opinions.

How strongly do you agree or disagree with the following statement:

“I enjoy exercising regularly.”

• a . Strongly Agree
• c . Neither Agree nor Disagree
• d . Disagree
• e . Strongly Disagree

Demographic Questions

These questions ask about the participant’s personal information such as age, gender, ethnicity, education level, etc. They are useful for segmenting the data and analyzing results by demographic groups.

• What is your age?

Yes/No Questions

These questions only have two options: Yes or No. They are useful for getting simple, straightforward answers to a specific question.

Have you ever traveled outside of your home country?

Ranking Questions

These questions ask participants to rank several items in order of preference or importance. They are useful for measuring priorities or preferences.

Please rank the following factors in order of importance when choosing a restaurant:

• a. Quality of Food
• c. Ambiance
• d. Location

Matrix Questions

These questions present a matrix or grid of options that participants can choose from. They are useful for getting data on multiple variables at once.

Dichotomous Questions

These questions present two options that are opposite or contradictory. They are useful for measuring binary or polarized attitudes.

Do you support the death penalty?

How to Make a Questionnaire

Step-by-Step Guide for Making a Questionnaire:

• Define your research objectives: Before you start creating questions, you need to define the purpose of your questionnaire and what you hope to achieve from the data you collect.
• Choose the appropriate question types: Based on your research objectives, choose the appropriate question types to collect the data you need. Refer to the types of questions mentioned earlier for guidance.
• Develop questions: Develop clear and concise questions that are easy for participants to understand. Avoid leading or biased questions that might influence the responses.
• Organize questions: Organize questions in a logical and coherent order, starting with demographic questions followed by general questions, and ending with specific or sensitive questions.
• Pilot the questionnaire : Test your questionnaire on a small group of participants to identify any flaws or issues with the questions or the format.
• Refine the questionnaire : Based on feedback from the pilot, refine and revise the questionnaire as necessary to ensure that it is valid and reliable.
• Distribute the questionnaire: Distribute the questionnaire to your target audience using a method that is appropriate for your research objectives, such as online surveys, email, or paper surveys.
• Collect and analyze data: Collect the completed questionnaires and analyze the data using appropriate statistical methods. Draw conclusions from the data and use them to inform decision-making or further research.
• Report findings: Present your findings in a clear and concise report, including a summary of the research objectives, methodology, key findings, and recommendations.

Questionnaire Administration Modes

There are several modes of questionnaire administration. The choice of mode depends on the research objectives, sample size, and available resources. Some common modes of administration include:

• Self-administered paper questionnaires: Participants complete the questionnaire on paper, either in person or by mail. This mode is relatively low cost and easy to administer, but it may result in lower response rates and greater potential for errors in data entry.
• Online questionnaires: Participants complete the questionnaire on a website or through email. This mode is convenient for both researchers and participants, as it allows for fast and easy data collection. However, it may be subject to issues such as low response rates, lack of internet access, and potential for fraudulent responses.
• Telephone surveys: Trained interviewers administer the questionnaire over the phone. This mode allows for a large sample size and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
• Face-to-face interviews : Trained interviewers administer the questionnaire in person. This mode allows for a high degree of control over the survey environment and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
• Mixed-mode surveys: Researchers use a combination of two or more modes to administer the questionnaire, such as using online questionnaires for initial screening and following up with telephone interviews for more detailed information. This mode can help overcome some of the limitations of individual modes, but it requires careful planning and coordination.

Example of Questionnaire

Title of the Survey: Customer Satisfaction Survey

Introduction:

We appreciate your business and would like to ensure that we are meeting your needs. Please take a few minutes to complete this survey so that we can better understand your experience with our products and services. Your feedback is important to us and will help us improve our offerings.

Instructions:

Please read each question carefully and select the response that best reflects your experience. If you have any additional comments or suggestions, please feel free to include them in the space provided at the end of the survey.

1. How satisfied are you with our product quality?

• Very satisfied
• Somewhat satisfied
• Somewhat dissatisfied
• Very dissatisfied

2. How satisfied are you with our customer service?

3. How satisfied are you with the price of our products?

4. How likely are you to recommend our products to others?

• Very likely
• Somewhat likely
• Somewhat unlikely
• Very unlikely

5. How easy was it to find the information you were looking for on our website?

• Somewhat easy
• Somewhat difficult
• Very difficult

6. How satisfied are you with the overall experience of using our products and services?

7. Is there anything that you would like to see us improve upon or change in the future?

…………………………………………………………………………………………………………………………..

Conclusion:

Thank you for taking the time to complete this survey. Your feedback is valuable to us and will help us improve our products and services. If you have any further comments or concerns, please do not hesitate to contact us.

Applications of Questionnaire

Some common applications of questionnaires include:

• Research : Questionnaires are commonly used in research to gather information from participants about their attitudes, opinions, behaviors, and experiences. This information can then be analyzed and used to draw conclusions and make inferences.
• Healthcare : In healthcare, questionnaires can be used to gather information about patients’ medical history, symptoms, and lifestyle habits. This information can help healthcare professionals diagnose and treat medical conditions more effectively.
• Marketing : Questionnaires are commonly used in marketing to gather information about consumers’ preferences, buying habits, and opinions on products and services. This information can help businesses develop and market products more effectively.
• Human Resources: Questionnaires are used in human resources to gather information from job applicants, employees, and managers about job satisfaction, performance, and workplace culture. This information can help organizations improve their hiring practices, employee retention, and organizational culture.
• Education : Questionnaires are used in education to gather information from students, teachers, and parents about their perceptions of the educational experience. This information can help educators identify areas for improvement and develop more effective teaching strategies.

Purpose of Questionnaire

Some common purposes of questionnaires include:

• To collect information on attitudes, opinions, and beliefs: Questionnaires can be used to gather information on people’s attitudes, opinions, and beliefs on a particular topic. For example, a questionnaire can be used to gather information on people’s opinions about a particular political issue.
• To collect demographic information: Questionnaires can be used to collect demographic information such as age, gender, income, education level, and occupation. This information can be used to analyze trends and patterns in the data.
• To measure behaviors or experiences: Questionnaires can be used to gather information on behaviors or experiences such as health-related behaviors or experiences, job satisfaction, or customer satisfaction.
• To evaluate programs or interventions: Questionnaires can be used to evaluate the effectiveness of programs or interventions by gathering information on participants’ experiences, opinions, and behaviors.
• To gather information for research: Questionnaires can be used to gather data for research purposes on a variety of topics.

When to use Questionnaire

Here are some situations when questionnaires might be used:

• When you want to collect data from a large number of people: Questionnaires are useful when you want to collect data from a large number of people. They can be distributed to a wide audience and can be completed at the respondent’s convenience.
• When you want to collect data on specific topics: Questionnaires are useful when you want to collect data on specific topics or research questions. They can be designed to ask specific questions and can be used to gather quantitative data that can be analyzed statistically.
• When you want to compare responses across groups: Questionnaires are useful when you want to compare responses across different groups of people. For example, you might want to compare responses from men and women, or from people of different ages or educational backgrounds.
• When you want to collect data anonymously: Questionnaires can be useful when you want to collect data anonymously. Respondents can complete the questionnaire without fear of judgment or repercussions, which can lead to more honest and accurate responses.
• When you want to save time and resources: Questionnaires can be more efficient and cost-effective than other methods of data collection such as interviews or focus groups. They can be completed quickly and easily, and can be analyzed using software to save time and resources.

Characteristics of Questionnaire

Here are some of the characteristics of questionnaires:

• Standardization : Questionnaires are standardized tools that ask the same questions in the same order to all respondents. This ensures that all respondents are answering the same questions and that the responses can be compared and analyzed.
• Objectivity : Questionnaires are designed to be objective, meaning that they do not contain leading questions or bias that could influence the respondent’s answers.
• Predefined responses: Questionnaires typically provide predefined response options for the respondents to choose from, which helps to standardize the responses and make them easier to analyze.
• Quantitative data: Questionnaires are designed to collect quantitative data, meaning that they provide numerical or categorical data that can be analyzed using statistical methods.
• Convenience : Questionnaires are convenient for both the researcher and the respondents. They can be distributed and completed at the respondent’s convenience and can be easily administered to a large number of people.
• Anonymity : Questionnaires can be anonymous, which can encourage respondents to answer more honestly and provide more accurate data.
• Reliability : Questionnaires are designed to be reliable, meaning that they produce consistent results when administered multiple times to the same group of people.
• Validity : Questionnaires are designed to be valid, meaning that they measure what they are intended to measure and are not influenced by other factors.

Advantage of Questionnaire

Some Advantage of Questionnaire are as follows:

• Standardization: Questionnaires allow researchers to ask the same questions to all participants in a standardized manner. This helps ensure consistency in the data collected and eliminates potential bias that might arise if questions were asked differently to different participants.
• Efficiency: Questionnaires can be administered to a large number of people at once, making them an efficient way to collect data from a large sample.
• Anonymity: Participants can remain anonymous when completing a questionnaire, which may make them more likely to answer honestly and openly.
• Cost-effective: Questionnaires can be relatively inexpensive to administer compared to other research methods, such as interviews or focus groups.
• Objectivity: Because questionnaires are typically designed to collect quantitative data, they can be analyzed objectively without the influence of the researcher’s subjective interpretation.
• Flexibility: Questionnaires can be adapted to a wide range of research questions and can be used in various settings, including online surveys, mail surveys, or in-person interviews.

Limitations of Questionnaire

Limitations of Questionnaire are as follows:

• Limited depth: Questionnaires are typically designed to collect quantitative data, which may not provide a complete understanding of the topic being studied. Questionnaires may miss important details and nuances that could be captured through other research methods, such as interviews or observations.
• R esponse bias: Participants may not always answer questions truthfully or accurately, either because they do not remember or because they want to present themselves in a particular way. This can lead to response bias, which can affect the validity and reliability of the data collected.
• Limited flexibility: While questionnaires can be adapted to a wide range of research questions, they may not be suitable for all types of research. For example, they may not be appropriate for studying complex phenomena or for exploring participants’ experiences and perceptions in-depth.
• Limited context: Questionnaires typically do not provide a rich contextual understanding of the topic being studied. They may not capture the broader social, cultural, or historical factors that may influence participants’ responses.
• Limited control : Researchers may not have control over how participants complete the questionnaire, which can lead to variations in response quality or consistency.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Develop a Questionnaire for Research

Last Updated: December 4, 2022 Fact Checked

This article was co-authored by Alexander Ruiz, M.Ed. . Alexander Ruiz is an Educational Consultant and the Educational Director of Link Educational Institute, a tutoring business based in Claremont, California that provides customizable educational plans, subject and test prep tutoring, and college application consulting. With over a decade and a half of experience in the education industry, Alexander coaches students to increase their self-awareness and emotional intelligence while achieving skills and the goal of achieving skills and higher education. He holds a BA in Psychology from Florida International University and an MA in Education from Georgia Southern University. There are 13 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 590,196 times.

A questionnaire is a technique for collecting data in which a respondent provides answers to a series of questions. [1] X Research source To develop a questionnaire that will collect the data you want takes effort and time. However, by taking a step-by-step approach to questionnaire development, you can come up with an effective means to collect data that will answer your unique research question.

Designing Your Questionnaire

• Come up with a research question. It can be one question or several, but this should be the focal point of your questionnaire.
• Develop one or several hypotheses that you want to test. The questions that you include on your questionnaire should be aimed at systematically testing these hypotheses.

• Dichotomous question: this is a question that will generally be a “yes/no” question, but may also be an “agree/disagree” question. It is the quickest and simplest question to analyze, but is not a highly sensitive measure.
• Open-ended questions: these questions allow the respondent to respond in their own words. They can be useful for gaining insight into the feelings of the respondent, but can be a challenge when it comes to analysis of data. It is recommended to use open-ended questions to address the issue of “why.” [2] X Research source
• Multiple choice questions: these questions consist of three or more mutually-exclusive categories and ask for a single answer or several answers. [3] X Research source Multiple choice questions allow for easy analysis of results, but may not give the respondent the answer they want.
• Rank-order (or ordinal) scale questions: this type of question asks your respondent to rank items or choose items in a particular order from a set. For example, it might ask your respondents to order five things from least to most important. These types of questions forces discrimination among alternatives, but does not address the issue of why the respondent made these discriminations. [4] X Research source
• Rating scale questions: these questions allow the respondent to assess a particular issue based on a given dimension. You can provide a scale that gives an equal number of positive and negative choices, for example, ranging from “strongly agree” to “strongly disagree.” [5] X Research source These questions are very flexible, but also do not answer the question “why.”

• Write questions that are succinct and simple. You should not be writing complex statements or using technical jargon, as it will only confuse your respondents and lead to incorrect responses.
• Ask only one question at a time. This will help avoid confusion
• Asking questions such as these usually require you to anonymize or encrypt the demographic data you collect.
• Determine if you will include an answer such as “I don’t know” or “Not applicable to me.” While these can give your respondents a way of not answering certain questions, providing these options can also lead to missing data, which can be problematic during data analysis.
• Put the most important questions at the beginning of your questionnaire. [7] X Research source This can help you gather important data even if you sense that your respondents may be becoming distracted by the end of the questionnaire.

• Only include questions that are directly useful to your research question. [9] X Trustworthy Source Food and Agricultural Organization of the United Nations Specialized agency of the United Nations responsible for leading international efforts to end world hunger and improve nutrition Go to source A questionnaire is not an opportunity to collect all kinds of information about your respondents.
• Avoid asking redundant questions. This will frustrate those who are taking your questionnaire.

• Consider if you want your questionnaire to collect information from both men and women. Some studies will only survey one sex.
• Consider including a range of ages in your target demographic. For example, you can consider young adult to be 18-29 years old, adults to be 30-54 years old, and mature adults to be 55+. Providing the an age range will help you get more respondents than limiting yourself to a specific age.
• Consider what else would make a person a target for your questionnaire. Do they need to drive a car? Do they need to have health insurance? Do they need to have a child under 3? Make sure you are very clear about this before you distribute your questionnaire.

• Consider an anonymous questionnaire. You may not want to ask for names on your questionnaire. This is one step you can take to prevent privacy, however it is often possible to figure out a respondent’s identity using other demographic information (such as age, physical features, or zipcode).
• Consider de-identifying the identity of your respondents. Give each questionnaire (and thus, each respondent) a unique number or word, and only refer to them using that new identifier. Shred any personal information that can be used to determine identity.
• Remember that you do not need to collect much demographic information to be able to identify someone. People may be wary to provide this information, so you may get more respondents by asking less demographic questions (if it is possible for your questionnaire).
• Make sure you destroy all identifying information after your study is complete.

Writing your questionnaire

• My name is Jack Smith and I am one of the creators of this questionnaire. I am part of the Department of Psychology at the University of Michigan, where I am focusing in developing cognition in infants.
• I’m Kelly Smith, a 3rd year undergraduate student at the University of New Mexico. This questionnaire is part of my final exam in statistics.
• My name is Steve Johnson, and I’m a marketing analyst for The Best Company. I’ve been working on questionnaire development to determine attitudes surrounding drug use in Canada for several years.

• I am collecting data regarding the attitudes surrounding gun control. This information is being collected for my Anthropology 101 class at the University of Maryland.
• This questionnaire will ask you 15 questions about your eating and exercise habits. We are attempting to make a correlation between healthy eating, frequency of exercise, and incidence of cancer in mature adults.
• This questionnaire will ask you about your recent experiences with international air travel. There will be three sections of questions that will ask you to recount your recent trips and your feelings surrounding these trips, as well as your travel plans for the future. We are looking to understand how a person’s feelings surrounding air travel impact their future plans.

• Beware that if you are collecting information for a university or for publication, you may need to check in with your institution’s Institutional Review Board (IRB) for permission before beginning. Most research universities have a dedicated IRB staff, and their information can usually be found on the school’s website.
• Remember that transparency is best. It is important to be honest about what will happen with the data you collect.
• Include an informed consent for if necessary. Note that you cannot guarantee confidentiality, but you will make all reasonable attempts to ensure that you protect their information. [12] X Research source

• Time yourself taking the survey. Then consider that it will take some people longer than you, and some people less time than you.
• Provide a time range instead of a specific time. For example, it’s better to say that a survey will take between 15 and 30 minutes than to say it will take 15 minutes and have some respondents quit halfway through.
• Use this as a reason to keep your survey concise! You will feel much better asking people to take a 20 minute survey than you will asking them to take a 3 hour one.

• Incentives can attract the wrong kind of respondent. You don’t want to incorporate responses from people who rush through your questionnaire just to get the reward at the end. This is a danger of offering an incentive. [13] X Research source
• Incentives can encourage people to respond to your survey who might not have responded without a reward. This is a situation in which incentives can help you reach your target number of respondents. [14] X Research source
• Consider the strategy used by SurveyMonkey. Instead of directly paying respondents to take their surveys, they offer 50 cents to the charity of their choice when a respondent fills out a survey. They feel that this lessens the chances that a respondent will fill out a questionnaire out of pure self-interest. [15] X Research source
• Consider entering each respondent in to a drawing for a prize if they complete the questionnaire. You can offer a 25$ gift card to a restaurant, or a new iPod, or a ticket to a movie. This makes it less tempting just to respond to your questionnaire for the incentive alone, but still offers the chance of a pleasant reward.

• Always proof read. Check for spelling, grammar, and punctuation errors.
• Include a title. This is a good way for your respondents to understand the focus of the survey as quickly as possible.
• Thank your respondents. Thank them for taking the time and effort to complete your survey.

Distributing Your Questionnaire

• Was the questionnaire easy to understand? Were there any questions that confused you?
• Was the questionnaire easy to access? (Especially important if your questionnaire is online).
• Do you feel the questionnaire was worth your time?
• Were you comfortable answering the questions asked?
• Are there any improvements you would make to the questionnaire?

• Use an online site, such as SurveyMonkey.com. This site allows you to write your own questionnaire with their survey builder, and provides additional options such as the option to buy a target audience and use their analytics to analyze your data. [19] X Research source
• Consider using the mail. If you mail your survey, always make sure you include a self-addressed stamped envelope so that the respondent can easily mail their responses back. Make sure that your questionnaire will fit inside a standard business envelope.
• Conduct face-to-face interviews. This can be a good way to ensure that you are reaching your target demographic and can reduce missing information in your questionnaires, as it is more difficult for a respondent to avoid answering a question when you ask it directly.
• Try using the telephone. While this can be a more time-effective way to collect your data, it can be difficult to get people to respond to telephone questionnaires.

• Make your deadline reasonable. Giving respondents up to 2 weeks to answer should be more than sufficient. Anything longer and you risk your respondents forgetting about your questionnaire.
• Consider providing a reminder. A week before the deadline is a good time to provide a gentle reminder about returning the questionnaire. Include a replacement of the questionnaire in case it has been misplaced by your respondent. [20] X Research source

Community Q&A

You Might Also Like

• ↑ https://www.questionpro.com/blog/what-is-a-questionnaire/
• ↑ https://www.hotjar.com/blog/open-ended-questions/
• ↑ https://www.questionpro.com/a/showArticle.do?articleID=survey-questions
• ↑ https://surveysparrow.com/blog/ranking-questions-examples/
• ↑ https://www.lumoa.me/blog/rating-scale/
• ↑ http://www.sciencebuddies.org/science-fair-projects/project_ideas/Soc_survey.shtml
• ↑ http://www.monash.edu.au/lls/hdr/design/2.4.3.html
• ↑ http://www.fao.org/docrep/W3241E/w3241e05.htm
• ↑ http://managementhelp.org/businessresearch/questionaires.htm
• ↑ https://www.surveymonkey.com/mp/survey-rewards/
• ↑ http://www.ideafit.com/fitness-library/how-to-develop-a-questionnaire
• ↑ https://www.surveymonkey.com/mp/take-a-tour/?ut_source=header

About This Article

To develop a questionnaire for research, identify the main objective of your research to act as the focal point for the questionnaire. Then, choose the type of questions that you want to include, and come up with succinct, straightforward questions to gather the information that you need to answer your questions. Keep your questionnaire as short as possible, and identify a target demographic who you would like to answer the questions. Remember to make the questionnaires as anonymous as possible to protect the integrity of the person answering the questions! For tips on writing out your questions and distributing the questionnaire, keep reading! Did this summary help you? Yes No

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• Questionnaire Design | Methods, Question Types & Examples

Questionnaire Design | Methods, Question Types & Examples

Published on 6 May 2022 by Pritha Bhandari . Revised on 10 October 2022.

A questionnaire is a list of questions or items used to gather data from respondents about their attitudes, experiences, or opinions. Questionnaires can be used to collect quantitative and/or qualitative information.

Questionnaires are commonly used in market research as well as in the social and health sciences. For example, a company may ask for feedback about a recent customer service experience, or psychology researchers may investigate health risk perceptions using questionnaires.

Table of contents

Questionnaires vs surveys, questionnaire methods, open-ended vs closed-ended questions, question wording, question order, step-by-step guide to design, frequently asked questions about questionnaire design.

A survey is a research method where you collect and analyse data from a group of people. A questionnaire is a specific tool or instrument for collecting the data.

Designing a questionnaire means creating valid and reliable questions that address your research objectives, placing them in a useful order, and selecting an appropriate method for administration.

But designing a questionnaire is only one component of survey research. Survey research also involves defining the population you’re interested in, choosing an appropriate sampling method , administering questionnaires, data cleaning and analysis, and interpretation.

Sampling is important in survey research because you’ll often aim to generalise your results to the population. Gather data from a sample that represents the range of views in the population for externally valid results. There will always be some differences between the population and the sample, but minimising these will help you avoid sampling bias .

Prevent plagiarism, run a free check.

Questionnaires can be self-administered or researcher-administered . Self-administered questionnaires are more common because they are easy to implement and inexpensive, but researcher-administered questionnaires allow deeper insights.

Self-administered questionnaires

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

Self-administered questionnaires can be:

• Cost-effective
• Easy to administer for small and large groups
• Anonymous and suitable for sensitive topics

But they may also be:

• Unsuitable for people with limited literacy or verbal skills
• Susceptible to a nonreponse bias (most people invited may not complete the questionnaire)
• Biased towards people who volunteer because impersonal survey requests often go ignored

Researcher-administered questionnaires

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents.

Researcher-administered questionnaires can:

• Help you ensure the respondents are representative of your target audience
• Allow clarifications of ambiguous or unclear questions and answers
• Have high response rates because it’s harder to refuse an interview when personal attention is given to respondents

But researcher-administered questionnaires can be limiting in terms of resources. They are:

• Costly and time-consuming to perform
• More difficult to analyse if you have qualitative responses
• Likely to contain experimenter bias or demand characteristics
• Likely to encourage social desirability bias in responses because of a lack of anonymity

Your questionnaire can include open-ended or closed-ended questions, or a combination of both.

Using closed-ended questions limits your responses, while open-ended questions enable a broad range of answers. You’ll need to balance these considerations with your available time and resources.

Closed-ended questions

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. Closed-ended questions are best for collecting data on categorical or quantitative variables.

Categorical variables can be nominal or ordinal. Quantitative variables can be interval or ratio. Understanding the type of variable and level of measurement means you can perform appropriate statistical analyses for generalisable results.

Examples of closed-ended questions for different variables

Nominal variables include categories that can’t be ranked, such as race or ethnicity. This includes binary or dichotomous categories.

It’s best to include categories that cover all possible answers and are mutually exclusive. There should be no overlap between response items.

In binary or dichotomous questions, you’ll give respondents only two options to choose from.

White Black or African American American Indian or Alaska Native Asian Native Hawaiian or Other Pacific Islander

Ordinal variables include categories that can be ranked. Consider how wide or narrow a range you’ll include in your response items, and their relevance to your respondents.

Likert-type questions collect ordinal data using rating scales with five or seven points.

When you have four or more Likert-type questions, you can treat the composite data as quantitative data on an interval scale . Intelligence tests, psychological scales, and personality inventories use multiple Likert-type questions to collect interval data.

With interval or ratio data, you can apply strong statistical hypothesis tests to address your research aims.

Pros and cons of closed-ended questions

Well-designed closed-ended questions are easy to understand and can be answered quickly. However, you might still miss important answers that are relevant to respondents. An incomplete set of response items may force some respondents to pick the closest alternative to their true answer. These types of questions may also miss out on valuable detail.

To solve these problems, you can make questions partially closed-ended, and include an open-ended option where respondents can fill in their own answer.

Open-ended questions

Open-ended, or long-form, questions allow respondents to give answers in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered. For example, respondents may want to answer ‘multiracial’ for the question on race rather than selecting from a restricted list.

• How do you feel about open science?
• How would you describe your personality?
• In your opinion, what is the biggest obstacle to productivity in remote work?

Open-ended questions have a few downsides.

They require more time and effort from respondents, which may deter them from completing the questionnaire.

For researchers, understanding and summarising responses to these questions can take a lot of time and resources. You’ll need to develop a systematic coding scheme to categorise answers, and you may also need to involve other researchers in data analysis for high reliability .

Question wording can influence your respondents’ answers, especially if the language is unclear, ambiguous, or biased. Good questions need to be understood by all respondents in the same way ( reliable ) and measure exactly what you’re interested in ( valid ).

Use clear language

You should design questions with your target audience in mind. Consider their familiarity with your questionnaire topics and language and tailor your questions to them.

For readability and clarity, avoid jargon or overly complex language. Don’t use double negatives because they can be harder to understand.

Use balanced framing

Respondents often answer in different ways depending on the question framing. Positive frames are interpreted as more neutral than negative frames and may encourage more socially desirable answers.

Use a mix of both positive and negative frames to avoid bias , and ensure that your question wording is balanced wherever possible.

Unbalanced questions focus on only one side of an argument. Respondents may be less likely to oppose the question if it is framed in a particular direction. It’s best practice to provide a counterargument within the question as well.

Avoid leading questions

Leading questions guide respondents towards answering in specific ways, even if that’s not how they truly feel, by explicitly or implicitly providing them with extra information.

It’s best to keep your questions short and specific to your topic of interest.

• The average daily work commute in the US takes 54.2 minutes and costs $29 per day. Since 2020, working from home has saved many employees time and money. Do you favour flexible work-from-home policies even after it’s safe to return to offices?
• Experts agree that a well-balanced diet provides sufficient vitamins and minerals, and multivitamins and supplements are not necessary or effective. Do you agree or disagree that multivitamins are helpful for balanced nutrition?

Keep your questions focused

Ask about only one idea at a time and avoid double-barrelled questions. Double-barrelled questions ask about more than one item at a time, which can confuse respondents.

This question could be difficult to answer for respondents who feel strongly about the right to clean drinking water but not high-speed internet. They might only answer about the topic they feel passionate about or provide a neutral answer instead – but neither of these options capture their true answers.

Instead, you should ask two separate questions to gauge respondents’ opinions.

Strongly Agree Agree Undecided Disagree Strongly Disagree

Do you agree or disagree that the government should be responsible for providing high-speed internet to everyone?

You can organise the questions logically, with a clear progression from simple to complex. Alternatively, you can randomise the question order between respondents.

Logical flow

Using a logical flow to your question order means starting with simple questions, such as behavioural or opinion questions, and ending with more complex, sensitive, or controversial questions.

The question order that you use can significantly affect the responses by priming them in specific directions. Question order effects, or context effects, occur when earlier questions influence the responses to later questions, reducing the validity of your questionnaire.

While demographic questions are usually unaffected by order effects, questions about opinions and attitudes are more susceptible to them.

• How knowledgeable are you about Joe Biden’s executive orders in his first 100 days?
• Are you satisfied or dissatisfied with the way Joe Biden is managing the economy?
• Do you approve or disapprove of the way Joe Biden is handling his job as president?

It’s important to minimise order effects because they can be a source of systematic error or bias in your study.

Randomisation

Randomisation involves presenting individual respondents with the same questionnaire but with different question orders.

When you use randomisation, order effects will be minimised in your dataset. But a randomised order may also make it harder for respondents to process your questionnaire. Some questions may need more cognitive effort, while others are easier to answer, so a random order could require more time or mental capacity for respondents to switch between questions.

Follow this step-by-step guide to design your questionnaire.

Step 1: Define your goals and objectives

The first step of designing a questionnaire is determining your aims.

• What topics or experiences are you studying?
• What specifically do you want to find out?
• Is a self-report questionnaire an appropriate tool for investigating this topic?

Once you’ve specified your research aims, you can operationalise your variables of interest into questionnaire items. Operationalising concepts means turning them from abstract ideas into concrete measurements. Every question needs to address a defined need and have a clear purpose.

Step 2: Use questions that are suitable for your sample

Create appropriate questions by taking the perspective of your respondents. Consider their language proficiency and available time and energy when designing your questionnaire.

• Are the respondents familiar with the language and terms used in your questions?
• Would any of the questions insult, confuse, or embarrass them?
• Do the response items for any closed-ended questions capture all possible answers?
• Are the response items mutually exclusive?
• Do the respondents have time to respond to open-ended questions?

Consider all possible options for responses to closed-ended questions. From a respondent’s perspective, a lack of response options reflecting their point of view or true answer may make them feel alienated or excluded. In turn, they’ll become disengaged or inattentive to the rest of the questionnaire.

Step 3: Decide on your questionnaire length and question order

Once you have your questions, make sure that the length and order of your questions are appropriate for your sample.

If respondents are not being incentivised or compensated, keep your questionnaire short and easy to answer. Otherwise, your sample may be biased with only highly motivated respondents completing the questionnaire.

Decide on your question order based on your aims and resources. Use a logical flow if your respondents have limited time or if you cannot randomise questions. Randomising questions helps you avoid bias, but it can take more complex statistical analysis to interpret your data.

Step 4: Pretest your questionnaire

When you have a complete list of questions, you’ll need to pretest it to make sure what you’re asking is always clear and unambiguous. Pretesting helps you catch any errors or points of confusion before performing your study.

Ask friends, classmates, or members of your target audience to complete your questionnaire using the same method you’ll use for your research. Find out if any questions were particularly difficult to answer or if the directions were unclear or inconsistent, and make changes as necessary.

If you have the resources, running a pilot study will help you test the validity and reliability of your questionnaire. A pilot study is a practice run of the full study, and it includes sampling, data collection , and analysis.

You can find out whether your procedures are unfeasible or susceptible to bias and make changes in time, but you can’t test a hypothesis with this type of study because it’s usually statistically underpowered .

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

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

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

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

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

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

Questionnaires can be self-administered or researcher-administered.

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

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40 Thesis Defense Questions

Practicing answering thesis defense questions in a mock thesis defense is the best way to get ready for this challenging step in your academic career. Aside from knowing your research project inside and out, you must have solid strategies for tackling different question types and talking about why you chose your research topic. You might have already answered questions related to your research interests in your research interest statement and grad school interview questions , but now after years for in-depth study, it's time to really test what you have accomplished! Check out some of the hardest thesis defense questions below and read our expert responses!

>> Want us to help you get accepted? Schedule a free strategy call here . <<

Article Contents 11 min read

What to expect in a thesis defense.

A thesis defense is your chance to demonstrate your in-depth knowledge and expertise in the topic of your research thesis. While you will be able to take charge of the narrative and present your research to those on your thesis committee, the professors will prod you to test how well you know and understand your topic. The questions are mostly open-ended and give you the chance to showcase your knowledge and understanding, as well as any future plans you may have regarding your research topic.

A thesis defense usually lasts between one and two hours, depending on the area of your research. It starts with you giving a presentation of your interest, findings, and conclusions. After you have finished, the committee members will ask you questions based not only on your presentation, but also on your written thesis as they will have read it before your presentation. Lastly, the committee might approve your thesis or suggest changes to your paper.

Preparing thesis defense questions requires you to start well in advance. While the duration of your thesis defense might vary as per your institution's requirements, the major idea is to defend your research. Thus, you should go about preparing for your thesis defense questions by taking the following steps.

Interested in a quick overview of the section below? Check out this infographic:

Re-read your thesis for clarity

Your thesis defense questions will be based on what you have written in your research paper. Hence, it is a good idea to re-read your paper. You should be clear on the concepts and understand your research well. It might have been some time since you would have submitted your paper, so a revision should be the starting point of your preparation.  

Have an answer strategy and structure

Plan a strategy to answer the panel’s questions. Keep your answers direct, but elaborate on the research details wherever necessary. If you do not know the answer to a question, that is alright. The key is to be able to formulate an answer even if you do not possess enough knowledge to answer at that point in time. For instance, if a question is about the content of your research, you can say something like “I am not certain my research touches on the question you are asking, but my research has led me to Dr. X. Based his evidence, I would have to conclude that…” Having a strategy for answering even the most unexpected questions can be a life saver in these situations!

Most of the thesis defense questions can be easily predicted based on your research. You can prepare a list of possible questions when you are going through your paper. Getting to know the committee can help you in preparing better. Their areas of expertise can help you in determining what they might ask. Once you have a list of questions, you can start brainstorming how you might answer them. 

Prepare your slides in advance

If you require visual aids such as slides, it is a good idea to prepare them beforehand. You can double-check the slides and make sure that your presentation will run smoothly on the day of your thesis defense. Make sure your slides are arranged in the correct order. 

Attend a thesis defense of other candidates if it is an open event

If your institution allows it, you can visit a thesis defense of other candidates. This will give you an excellent idea of what you can expect in your meeting. If it is not possible to attend the event, you can speak to your peers to find out how their meeting went and what questions were asked.

Dress appropriately for your meeting

The thesis defense meeting is a formal event, and hence you should be dressed in formal clothes. While there are no strict dressing rules, you should consider it something equivalent to a job interview. Don’t just wear your T-shirt and appear in front of the committee. Your formal suit is a better option for the occasion.

Practice speaking for your meeting

Take your preparation to the next level by practicing your presentation. This activity will give you the confidence for the actual meeting and presentation. You can request your academic peers to help you out in the practice task. Based on their feedback in the mock session, you can improve for the actual session. Make sure to prepare well for the mock session as if you are preparing for the actual session. You can also practice your speech and body language in the mock session. If you used thesis writing services , these professionals would also be the ideal people to test you in a mock thesis defense – don’t hesitate to reach out to them again!

Sample Thesis Defense Questions and Answers

1.    what is your research study all about.

In your answer, you should summarize your research in a few sentences. The question is simple but requires technical expertise for a better explanation of concepts. For instance, if you completed a thesis in an attempt to explain the constituents of dark matter in the universe and particle accelerators, you could frame your answer like this:

In this research, the different aspects of dark matter and its detection models have been investigated. The cosmic ray positron excess observed by the PAMELA detector has been discussed and explained through the construction of models of decaying dark matter. The cosmic-ray electron and positron spectra were studied assuming a general Dirac structure for the four fermion contact interactions of interest. A supersymmetric leptophilic Higgs model was constructed to explain the possible excess of gamma rays in the galactic center. Finally, by the use of Razor analysis, an improvement on the dark matter collider searches is considered.  

2.    Why did you choose this study?

This question requires you to answer what motivated you to pursue the study in the first place. Your answers could touch on your interests in the area of the study. For example, if you conducted a study called “Media Combat: The Great War and the Transformation of American Culture” then you can shape your answer like this:

The First World War (1914-1918) has always been a topic of fascination for me, and my prime interest lies in exploring the state of society at that time. I wanted to analyze the formation of a nationalized, wartime cultural apparatus during the United States' involvement in the war and how theatre and music transformed the relationship between the government and American citizens. 

3.    Why did you choose this particular title for your research?

The title of your thesis captures the main point of your research, which is why it is so important to use an appropriate title. Your committee will want to know how you came to the final decision of naming your work. For example,

I chose the title “Dark matter in the heavens and at colliders: Models and constraints” for my research thesis because my research attempts to explain the constituency of dark matter as it occurs in the universe. “The heavens” is another word for the universe. Dark matter can also be created in particle accelerators such as the CERN collider. I have attempted to provide an explanation for both of the cases through the use of models, along with describing the constraints which exist in the current times due to certain scientific limitations.

4.    What is the scope of your study?

In your answer, you have to define the boundaries of your project and define exactly what you are studying. There can be several elements involved but you have to define the parameters that you have chosen to study. For example,

My study is on the efficacy of equity stocks in the US market. For my study, I have chosen 50 companies listed on the NASDAQ. You can review the names of these companies on page 5 of my thesis.

5.    What phenomenon were you trying to understand with this research?

Describe the focus concept of your thesis in the answer. For example,

In our study “Motivation to volunteer”, we were looking to study the Theory of Planned Behavior by analyzing the behavioral and normative beliefs that influence attitudes and subjective norms.

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6.    Who will be most interested in your research?

You can talk about who may be affected by your research and the parties who can potentially benefit from the research. Take a look at this example:

My sociology thesis on “Impact of social media on youngsters” can be of interest to sociology academics, social media companies, education experts, and parents of youngsters in general.

7.    Did your research questions evolve during the process? If so, how?

Often, qualitative research questions change over time with respect to the responses that you might get from your focus group. Or you might just change your question as you do lab research or general text research. You can describe the change to the evaluating committee. For example,

We started our study to understand the impact of the new public policy change on recycling of vinyl waste through installation of garbage bins specifically for vinyl products. However, after interviewing some of the respondents in the target community, we found that the rule is actually irrelevant to their behavior and thoughts because the percentage of vinyl waste in that specific locality was very low and it didn’t need the installation of dedicated bins for the purpose. Going by their frustrations with the current economic insecurity, our study evolved into the impact of costs incurred by public policy changes.           

8.    What gaps did you intend to bridge with your research?

Your research thesis must eliminate the present gaps in the concepts related to your subject topic.

The relationship between hard water and its effect on the size of the kidney stone is not clear yet, so we analyzed the mineral composition of hard water to determine its impact on the size of the kidney stone.

9.    Why is your research significant?

The answer to this research question should outline the impact of your research on your field of study. You may talk about the new insights contributed by your research and its impact on society.

Through my study on “The effect of chamomile in reducing stress and promoting better sleep,” patients with insomnia and anxiety will be able to find alternative treatments without the use of medicinal drugs. The medical abilities of chamomile will promote the usage of ingredients in nature and will encourage the community to plant more herbs and trees.

10. What did you find in your research?

You may describe your research in a few sentences in this answer. For instance,

In our study on “Impact of artificial fluoride in water on the human body,” we found that excessive exposure to high quantities of Fluoride can result in tooth discoloration and bone issues in humans since it has neurotoxic qualities. 

11. What research findings surprised you?

When you conduct research, you come across findings that you were not expecting earlier. If you had such an experience, you might describe the same to the evaluation committee when you answer this question. For example,

I was expecting that business promotion through social media would not be a good idea for rural enterprises in developing countries in my comparative analysis of the usage of traditional and contemporary marketing methods. But I was surprised to learn that 68% of rural textile businesses in Nigeria promote their products on Instagram.

12. What is the validity of your findings?

You have to talk about the conditions in which your research findings would be valid.

In my research, I have considered test anxiety to be involving both nervous system activation and negative thoughts. Thus, my measure of test anxiety has included the elements of both nervous feelings and negative thoughts, the conditions in which my findings are valid.

For example,

For studying the differential protein expression, its localization, and distribution at different levels, we used the method of immunostaining in our research.

14. What sources did you use for data collection?

You would have used several sources to search for data for your topic. You may elaborate on those sources. You might have referred to databases, content on the web, or even conducted primary research by interviewing prospects. Thus, you can talk about these sources. Refer to the following answer:

To understand the impact of the current tax regime on skilled workers, we interviewed 150 subjects in 5 months. Additionally, we referred to databases and scholarly works available by authors who had previously conducted such studies for previous tax laws and rates. 

15. How can your research be put into practice?

This question talks about the practical implications of your research. You should talk about how your research is beneficial for society and how it can help in eliminating current issues.

In our research titled “Effectiveness of Meditation on Reducing the Anxiety Levels of College Students in the US,” we discovered that students who practiced meditation at least thrice a week were two times more likely to score better in their exams, owing to the positive impact of meditation. So, this research finding can help in the reduction of mental health issues among students. A suitable course of action would be to hold meditating sessions a couple of times a week. 

16. How will your findings contribute to the related area of knowledge?

Our study on medicinal analysis of herbs conveys information about various medicinal benefits of chamomile in treating depression and contributes to the area of medicinal botany.

17. Did you experience any limitations in your research?

Our research on “Impact of smoking on β-cell function and risk for type 2 diabetes in US citizens” finds that smoking increases the risk of diabetes among smokers. However, smokers might be affected by some genetic conditions which can protect them from diabetes. 

18. What sampling techniques did you use?

When conducting research, it is practically not possible to study the entire number of elements. So, you would be using a method to select a sample population.

In our study “Impact of consumption of soda on the health of teenagers in Corpus Christi”, we used area sampling to divide the city into several areas and then selected some clusters for our sample group.

19. What are the dependent and independent variables in your research?

In research, several variable factors impact your study. You can describe these variables. Independent variables have values which are not affected by other variables in your study. On the other hand, the dependent variables have values that change with changes in the independent variable. For example,

In our study on “Impact of online tutoring on test scores”, the independent variable is the nature of the classes i.e., online and the participants' test score is the dependent variable.

20. What areas do you suggest for further research?

As a researcher, you should be able to describe what further areas are open for research with the addition of your research to the field. This can act as a starting point for future researchers. For example,

In my research on “Effectiveness of Acetaminophen in treating sports induced injuries”, I discovered that administering Acetaminophen is not very effective for treating joint pains such as the knee. This further suggests measures for the regulation of Acetaminophen in the production of painkillers for body pain and the search for alternative compounds.

Practice Questions

After taking a look at the sample answers, now try answering these questions by yourself:

Do you have any closing comments? "}]">

After submitting your research thesis for evaluation, you have to appear before a panel of professors and present your work; afterwards, they will ask you questions about your research.

You have to plan and prepare for your thesis defense. Review your paper and anticipate the questions that the committee can ask. Practice with mock defense sessions using professional servicesand make improvements based on their feedback. Be prepared with a strategy for answering any question asked by the panel.

Your research thesis should be on a topic of your interest. Scan your course syllabus to find something that makes you curious. Or, you can even refer to your grad school career goals statement to review what got you interested in grad school in the first place. Shortlist a few topics and zero down to the one that excites you the most.

The first step in preparing for a master’s thesis defense is to revise your research paper and write down a list of questions that the committee might ask. Find answers to those questions and get ready for your presentation. Practice your presentation beforehand. Try to attend a thesis defense of other candidates to know what you can expect in your session. 

You will get questions related to what you have mentioned in your research paper. The most common starting questions are “what is your research about?" and “what was your motivation behind choosing this topic?” Later on, the committee asks you more detailed questions on research methodology, literature review, study variables, research findings, recommendations, and areas of further research.

You can get help from a grad school essay tutor for your research thesis writing. They can help you in developing writing skills and reviewing your work. They can proofread your work and provide recommendations on areas of improvement.

You can include your research thesis on your grad school CV to show your practical knowledge and skills. You can add the details of the study in a separate section for research experience.

Immediately after the thesis defense, the evaluation panel will decide whether to approve your paper as submitted or request some changes, or reject it.

To pass a thesis defense, a majority of the panel members must approve the defense. In case of more than one vote against you, you can fail the thesis.

A thesis defense can last for two hours or longer, depending on your area of research.

Your thesis defense presentation should include the focus concept, findings, recommendation, and conclusion.

The contribution of your thesis towards your degree differs as per institution. You can refer to your course handbook for exact details. In most cases, the committee needs to approve your thesis for you to graduate from your degree.

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why did you choose this place for a research locale

BeMo Academic Consulting

Hi Jeff! Yes, this can also be one of the questions you are asked in a thesis defense!

That is good

Hello Eshetu! Thanks for your comment. Glad you found this helpful!

Very helpful

Thanks, Abel. Glad you found this helpful. 

Helpful thank you.

Hi Lagat! Thanks!

As an 11th-grade student, I don't have any experience in thesis or research defense in general. Me and my groupmates will be conducting our research title defense next week, this is invaluable information for us. Thank you!

You are very welcome, Kate!

THANK YOU SO MUCH FOR THIS, I REALLY APPRECIATE.

Hello Stephanie! Thanks for your comment.

EMELDA NAFULA NYONGESA

This is a good guideline to post graduate students (Masters and PhD) CPA:Emelda Nyongesa

Hi Emelda! Thanks!

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Dissertation Questionnaire

Questionnaire generator.

A dissertation is a document usually a requirement for a doctoral degree especially in the field of philosophy. This long essay discusses a particular subject matter uses questionnaires   and other sources of data and is used to validate its content. The  questionnaire’s importance is evident in the processes of data gathering as it can make the dissertation factual, effective and usable.

Having a well-curated and formatted document to follow when making a dissertation can be very beneficial to an individual who is currently immersed in the data gathering stage of the specific research study. We have gathered downloadable samples and templates of questionnaires so it will be easier for you to curate your own.

Dissertation Timeline Gantt Chart Template

Size: 55 KB

Dissertation Research Gantt Chart Template

Size: 43 KB

Dissertation Project Gantt Chart Template

Size: 41 KB

Dissertation Plan Gantt Chart Template

Size: 51 KB

Dissertation Research Questionnaire

Size: 18 KB

Dissertation Proposal Questionnaire

Size: 131 KB

Sample Dissertation Questionnaire

Size: 10 KB

What Is a Dissertation Questionnaire?

A dissertation questionnaire can be defined as follows:

• It is a document used in the processes of data gathering.
• Questionnaires in PDF used for a dissertation contain questions that can help assess the current condition of the community which is the subject of study within the dissertation.
• It specifies the questions that are needed to be answered to assure that there is a basis in terms of the results that will be presented in a dissertation.

How to Write a Dissertation Questionnaire

Writing an efficient and comprehensive dissertation questionnaire can greatly affect the entire dissertation. You can make one by following these steps:

• Be specific with the kind of dissertation that you are creating and align the purposes of the dissertation questionnaire that you need to make to your study.
• List down the information needed from the community who will provide the answers to your questions.
• Open a software where you can create a questionnaire template. You may also download  survey questionnaire examples   and templates to have a faster time in formatting the document.
• The purpose of the dissertation questionnaire.
• The guidelines and instructions in answering the dissertation questions.
• The name of the person to who will use the questionnaire results to his/her dissertation.
• The institution to whom the dissertation will be passed.
• List down the questions based on your needs.

Undergraduate Dissertation Questionnaire

Size: 12 KB

Project Management Dissertation

Size: 54 KB

Guidelines for Writing a Dissertation Questionnaire

There are no strict rules in writing a dissertation questionnaire. However, there are some tips that can help you to create a dissertation questionnaire that is relevant to the study that you are currently doing. Some guidelines:

• Make sure that you are well aware of the data that is needed in your dissertation so you can properly curate questions that can supply your information needs.
• It will be best to use a dissertation questionnaire format that is organized, easy to understand, and properly structured. This will help the people who will answer the dissertation questionnaire quickly know how they can provide the items that you would like to know.
• Always make sure that your instructions in answering the questions are precise and directly stated.
• You may look at  questionnaires in Word   for comparisons. Doing this will help you assess whether there are still areas of improvement that you may tap with the content and format of the dissertation questionnaire that you have created.

Keeping this guidelines in mind and implementing them accordingly will allow you to create a dissertation questionnaire that is beneficial to the processes that you need to have an outstanding dissertation.

Text prompt

• Instructive
• Professional

Create a fun quiz to find out which historical figure you're most like in your study habits

Design a survey to discover students' favorite school subjects and why they love them.

Research Aims, Objectives & Questions

The “Golden Thread” Explained Simply (+ Examples)

By: David Phair (PhD) and Alexandra Shaeffer (PhD) | June 2022

The research aims , objectives and research questions (collectively called the “golden thread”) are arguably the most important thing you need to get right when you’re crafting a research proposal , dissertation or thesis . We receive questions almost every day about this “holy trinity” of research and there’s certainly a lot of confusion out there, so we’ve crafted this post to help you navigate your way through the fog.

Overview: The Golden Thread

• What is the golden thread
• What are research aims ( examples )
• What are research objectives ( examples )
• What are research questions ( examples )
• The importance of alignment in the golden thread

What is the “golden thread”?  

The golden thread simply refers to the collective research aims , research objectives , and research questions for any given project (i.e., a dissertation, thesis, or research paper ). These three elements are bundled together because it’s extremely important that they align with each other, and that the entire research project aligns with them.

Importantly, the golden thread needs to weave its way through the entirety of any research project , from start to end. In other words, it needs to be very clearly defined right at the beginning of the project (the topic ideation and proposal stage) and it needs to inform almost every decision throughout the rest of the project. For example, your research design and methodology will be heavily influenced by the golden thread (we’ll explain this in more detail later), as well as your literature review.

The research aims, objectives and research questions (the golden thread) define the focus and scope ( the delimitations ) of your research project. In other words, they help ringfence your dissertation or thesis to a relatively narrow domain, so that you can “go deep” and really dig into a specific problem or opportunity. They also help keep you on track , as they act as a litmus test for relevance. In other words, if you’re ever unsure whether to include something in your document, simply ask yourself the question, “does this contribute toward my research aims, objectives or questions?”. If it doesn’t, chances are you can drop it.

Alright, enough of the fluffy, conceptual stuff. Let’s get down to business and look at what exactly the research aims, objectives and questions are and outline a few examples to bring these concepts to life.

Research Aims: What are they?

Simply put, the research aim(s) is a statement that reflects the broad overarching goal (s) of the research project. Research aims are fairly high-level (low resolution) as they outline the general direction of the research and what it’s trying to achieve .

Research Aims: Examples  

True to the name, research aims usually start with the wording “this research aims to…”, “this research seeks to…”, and so on. For example:

“This research aims to explore employee experiences of digital transformation in retail HR.”   “This study sets out to assess the interaction between student support and self-care on well-being in engineering graduate students”  

As you can see, these research aims provide a high-level description of what the study is about and what it seeks to achieve. They’re not hyper-specific or action-oriented, but they’re clear about what the study’s focus is and what is being investigated.

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Research Objectives: What are they?

The research objectives take the research aims and make them more practical and actionable . In other words, the research objectives showcase the steps that the researcher will take to achieve the research aims.

The research objectives need to be far more specific (higher resolution) and actionable than the research aims. In fact, it’s always a good idea to craft your research objectives using the “SMART” criteria. In other words, they should be specific, measurable, achievable, relevant and time-bound”.

Research Objectives: Examples  

Let’s look at two examples of research objectives. We’ll stick with the topic and research aims we mentioned previously.  

For the digital transformation topic:

To observe the retail HR employees throughout the digital transformation. To assess employee perceptions of digital transformation in retail HR. To identify the barriers and facilitators of digital transformation in retail HR.

And for the student wellness topic:

To determine whether student self-care predicts the well-being score of engineering graduate students. To determine whether student support predicts the well-being score of engineering students. To assess the interaction between student self-care and student support when predicting well-being in engineering graduate students.

  As you can see, these research objectives clearly align with the previously mentioned research aims and effectively translate the low-resolution aims into (comparatively) higher-resolution objectives and action points . They give the research project a clear focus and present something that resembles a research-based “to-do” list.

Research Questions: What are they?

Finally, we arrive at the all-important research questions. The research questions are, as the name suggests, the key questions that your study will seek to answer . Simply put, they are the core purpose of your dissertation, thesis, or research project. You’ll present them at the beginning of your document (either in the introduction chapter or literature review chapter) and you’ll answer them at the end of your document (typically in the discussion and conclusion chapters).  

The research questions will be the driving force throughout the research process. For example, in the literature review chapter, you’ll assess the relevance of any given resource based on whether it helps you move towards answering your research questions. Similarly, your methodology and research design will be heavily influenced by the nature of your research questions. For instance, research questions that are exploratory in nature will usually make use of a qualitative approach, whereas questions that relate to measurement or relationship testing will make use of a quantitative approach.  

Let’s look at some examples of research questions to make this more tangible.

Research Questions: Examples  

Again, we’ll stick with the research aims and research objectives we mentioned previously.  

For the digital transformation topic (which would be qualitative in nature):

How do employees perceive digital transformation in retail HR? What are the barriers and facilitators of digital transformation in retail HR?  

And for the student wellness topic (which would be quantitative in nature):

Does student self-care predict the well-being scores of engineering graduate students? Does student support predict the well-being scores of engineering students? Do student self-care and student support interact when predicting well-being in engineering graduate students?  

You’ll probably notice that there’s quite a formulaic approach to this. In other words, the research questions are basically the research objectives “converted” into question format. While that is true most of the time, it’s not always the case. For example, the first research objective for the digital transformation topic was more or less a step on the path toward the other objectives, and as such, it didn’t warrant its own research question.  

So, don’t rush your research questions and sloppily reword your objectives as questions. Carefully think about what exactly you’re trying to achieve (i.e. your research aim) and the objectives you’ve set out, then craft a set of well-aligned research questions . Also, keep in mind that this can be a somewhat iterative process , where you go back and tweak research objectives and aims to ensure tight alignment throughout the golden thread.

The importance of strong alignment 

Alignment is the keyword here and we have to stress its importance . Simply put, you need to make sure that there is a very tight alignment between all three pieces of the golden thread. If your research aims and research questions don’t align, for example, your project will be pulling in different directions and will lack focus . This is a common problem students face and can cause many headaches (and tears), so be warned.

Take the time to carefully craft your research aims, objectives and research questions before you run off down the research path. Ideally, get your research supervisor/advisor to review and comment on your golden thread before you invest significant time into your project, and certainly before you start collecting data .  

Recap: The golden thread

In this post, we unpacked the golden thread of research, consisting of the research aims , research objectives and research questions . You can jump back to any section using the links below.

As always, feel free to leave a comment below – we always love to hear from you. Also, if you’re interested in 1-on-1 support, take a look at our private coaching service here.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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39 Comments

Thank you very much for your great effort put. As an Undergraduate taking Demographic Research & Methodology, I’ve been trying so hard to understand clearly what is a Research Question, Research Aim and the Objectives in a research and the relationship between them etc. But as for now I’m thankful that you’ve solved my problem.

Well appreciated. This has helped me greatly in doing my dissertation.

An so delighted with this wonderful information thank you a lot.

so impressive i have benefited a lot looking forward to learn more on research.

I am very happy to have carefully gone through this well researched article.

Infact,I used to be phobia about anything research, because of my poor understanding of the concepts.

Now,I get to know that my research question is the same as my research objective(s) rephrased in question format.

I please I would need a follow up on the subject,as I intends to join the team of researchers. Thanks once again.

Thanks so much. This was really helpful.

I know you pepole have tried to break things into more understandable and easy format. And God bless you. Keep it up

i found this document so useful towards my study in research methods. thanks so much.

This is my 2nd read topic in your course and I should commend the simplified explanations of each part. I’m beginning to understand and absorb the use of each part of a dissertation/thesis. I’ll keep on reading your free course and might be able to avail the training course! Kudos!

Thank you! Better put that my lecture and helped to easily understand the basics which I feel often get brushed over when beginning dissertation work.

This is quite helpful. I like how the Golden thread has been explained and the needed alignment.

This is quite helpful. I really appreciate!

The article made it simple for researcher students to differentiate between three concepts.

Very innovative and educational in approach to conducting research.

I am very impressed with all these terminology, as I am a fresh student for post graduate, I am highly guided and I promised to continue making consultation when the need arise. Thanks a lot.

A very helpful piece. thanks, I really appreciate it .

Very well explained, and it might be helpful to many people like me.

Wish i had found this (and other) resource(s) at the beginning of my PhD journey… not in my writing up year… 😩 Anyways… just a quick question as i’m having some issues ordering my “golden thread”…. does it matter in what order you mention them? i.e., is it always first aims, then objectives, and finally the questions? or can you first mention the research questions and then the aims and objectives?

Thank you for a very simple explanation that builds upon the concepts in a very logical manner. Just prior to this, I read the research hypothesis article, which was equally very good. This met my primary objective.

My secondary objective was to understand the difference between research questions and research hypothesis, and in which context to use which one. However, I am still not clear on this. Can you kindly please guide?

In research, a research question is a clear and specific inquiry that the researcher wants to answer, while a research hypothesis is a tentative statement or prediction about the relationship between variables or the expected outcome of the study. Research questions are broader and guide the overall study, while hypotheses are specific and testable statements used in quantitative research. Research questions identify the problem, while hypotheses provide a focus for testing in the study.

Exactly what I need in this research journey, I look forward to more of your coaching videos.

This helped a lot. Thanks so much for the effort put into explaining it.

What data source in writing dissertation/Thesis requires?

What is data source covers when writing dessertation/thesis

This is quite useful thanks

I’m excited and thankful. I got so much value which will help me progress in my thesis.

where are the locations of the reserch statement, research objective and research question in a reserach paper? Can you write an ouline that defines their places in the researh paper?

Very helpful and important tips on Aims, Objectives and Questions.

Thank you so much for making research aim, research objectives and research question so clear. This will be helpful to me as i continue with my thesis.

Thanks much for this content. I learned a lot. And I am inspired to learn more. I am still struggling with my preparation for dissertation outline/proposal. But I consistently follow contents and tutorials and the new FB of GRAD Coach. Hope to really become confident in writing my dissertation and successfully defend it.

As a researcher and lecturer, I find splitting research goals into research aims, objectives, and questions is unnecessarily bureaucratic and confusing for students. For most biomedical research projects, including ‘real research’, 1-3 research questions will suffice (numbers may differ by discipline).

Awesome! Very important resources and presented in an informative way to easily understand the golden thread. Indeed, thank you so much.

Well explained

The blog article on research aims, objectives, and questions by Grad Coach is a clear and insightful guide that aligns with my experiences in academic research. The article effectively breaks down the often complex concepts of research aims and objectives, providing a straightforward and accessible explanation. Drawing from my own research endeavors, I appreciate the practical tips offered, such as the need for specificity and clarity when formulating research questions. The article serves as a valuable resource for students and researchers, offering a concise roadmap for crafting well-defined research goals and objectives. Whether you’re a novice or an experienced researcher, this article provides practical insights that contribute to the foundational aspects of a successful research endeavor.

A great thanks for you. it is really amazing explanation. I grasp a lot and one step up to research knowledge.

I really found these tips helpful. Thank you very much Grad Coach.

I found this article helpful. Thanks for sharing this.

thank you so much, the explanation and examples are really helpful

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Research Question Generator for Free

If you’re looking for the best research question generator, you’re in the right place. Get a list of ideas for your essay, research paper, or any other project with this online tool.

• 🎓 How to Use the Tool
• 🤔 What Is a Research Question?
• 😺 Research Question Examples
• 👣 Steps to Making a Research Question

📝 Research Question Maker: the Benefits

🔗 references, 🎓 research question generator: how to use it.

Research can’t be done without a clear purpose, an intention behind it.

This intention is usually reflected in a research question, which indicates how you approach your study topic.

If you’re unsure how to write a good research question or are new to this process, you’ll surely benefit from our free online tool. All you need is:

• Indicate your search term or title
• Stipulate the subject or academic area
• Press “Generate questions”
• Choose a suitable research question from the generated list.

As you can see, this is the best research question generator requiring minimal input for smart question formulation. Try it out to see how simple the process is.

🤔 Why Make an Inquiry Question?

A research question is a question that you formulate for your scientific inquiry . It is a question that sets the scope for your study and determines how you will approach the identified problem, gap, or issue.

Questions can be descriptive , meaning they aim to describe or measure a subject of the researcher's interest.

Otherwise, they can be exploratory , focusing on the under-researched areas and aiming to expand the existing research evidence on the topic.

If there's enough knowledge about the subject, and you want to dig deeper into the existing trends and relationships, you can also use an explanatory research question.

What Makes a Strong Research Question?

The strength of your formulated research question determines the quality of your research, whether it’s a short argumentative essay or an extensive research paper . So, you should review the quality of your question before conducting the full-scale study.

Its parameters of quality are as follows:

• Clarity . The question should be specific about the focus of your inquiry.
• Complexity . It should not be self-obvious or primitively answered with a “yes” or “no” variant.
• Focus . The question should match the size and type of your academic assignment.
• Conciseness . It should be brief and understandable.
• Debatability . There should be more than one potential answer to the question.

😺 Research Question Examples: Good & Not So Good

Here are some examples to illustrate what we mean by quality criteria and how you can ensure that your question meets them.

Lack of Clarity

The bad example is too general and does not clearly estimate what effect you want to analyze or what aspect of video gaming you're interested in. A much better variant is in the right column.

Look at some other research question examples that are clear enough:

• Terrorism: what is it and how to counter it?
• Sex trafficking: why do we have to address it?
• Palliative care: what constitutes the best technique for technicians communication with patients and families?
• How do vacuum cleaners work?
• What does it mean to age well?

Lack of Focus

The bad example is not focused, as it doesn’t specify what benefits you want to identify and in what context the uniform is approached. A more effective variant is in the right column.

Look at some other research question examples that are focused enough:

• How are biochemical conditions and brain activity linked to crime?
• World wars and national conflicts: what were the reasons?
• Why does crime exist in society?
• Decolonization in Canada: what does decolonization mean?

The bad example is too simplistic and doesn’t focus on the aspects of help that dogs can give to their owners. A more effective variant is in the right column.

Look at some other research question examples that are complex enough:

• How is resource scarcity impacting the chocolate industry?
• What should the Brazilian government do about reducing Amazon’s deforestation?
• Why is a collaborative approach vital during a pandemic?
• What impact has COVID-19 had on the economy?
• How to teach handwriting effectively?

Lack of Debatability

The problem of diabetes is well-known and doesn’t cause any doubts. So, you should add debatability to the discussed issue.

Look at some other research question examples that are debatable enough:

• Online vs. print journalism: what is more beneficial?
• Why will artificial intelligence not replace human in near future?
• What are the differences between art and design?
• Crime TV: how is criminality represented on television?

The question in the left column is too long and ambiguous, making the readers lose focus. You can shorten it without losing the essence.

Look at some other research question examples that are concise enough:

• What is the best way to address obesity in the US?
• Doctoral degree in nursing: why is it important?
• What are the benefits of X-rays in medicine?
• To what extent do emotions influence moral judgment?
• Why did the Industrial Revolution happen in England?

👣 Steps to Generate Research Questions

Now, it’s time to get down from science to practice. Here is a tried-and-tested algorithm for killer research question generation.

• Pick a topic . Once you get a writing assignment, it’s time to find an appropriate topic first . You can’t formulate a thesis statement or research question if you know nothing about your subject, so it's time to narrow your scope and find out as much as possible about the upcoming task.
• Research the topic . After you’re brainstormed several topic options, you should do some research. This stage takes the guesswork out of the academic process, allowing you to discover what scholars and other respected people think about your subject.
• Clarify who your audience is . Think about who will read your piece. Will it be the professor, your classmates, or the general audience consisting of laypersons? Ensure the research question sounds competent enough for a professor and understandable enough for laypeople.
• Approach the subject critically . With a well-articulated topic at hand, you should start asking the "why's" and "how's" about it. Look at the subject as a kid; don't limit your curiosity. You're sure to arrive at some interesting topics to reveal the hidden sides of the chosen issue.
• Evaluate the questions . Now that you have a couple of questions about your topic, evaluate them in terms of research value. Are all of them clear and focused? Will answering all of them take time and research, or is the answer already on the surface? By assessing each option you’ve formulated, you’re sure to choose one leader and use it as your main research question for the scientific study.

Thank you for reading this article! If you need to quickly formulate a thesis statement, consider using our free thesis maker .

❓ Research Questions Generator FAQ

Updated: Oct 25th, 2023

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With our question generator, you can get a unique research question for your assignment, be it an essay, research, proposal, or speech. In a couple of clicks, our tool will make a perfect question for you to ease the process of writing. Try our generator to write the best work possible.

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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