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Designing a Questionnaire for a Research Paper: A Comprehensive Guide to Design and Develop an Effective Questionnaire

A questionnaire is an important instrument in a research study to help the researcher collect relevant data regarding the research topic. It is significant to ensure that the design of the questionnaire is arranged to minimize errors. However, researchers commonly face challenges in designing an effective questionnaire including its content, appearance and usage that leads to inappropriate and biased findings in a study. This paper aims to review the main steps to design a questionnaire introducing the process that starts with defining the information required for a study, then continues with the identification of the type of survey and types of questions, writing questions and building the construct of the questionnaire. It also develops the demand to pre-test the questionnaire and finalizing the questionnaire to conduct the survey.

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Best practice in questionnaire design

The following guide to developing questionnaire items and organising the questionnaire is based on best practice (Gehlbach & Brinkworth, 2011; Gehlbach & Artino Jr., 2018). These best practices have been tested across over 40 years of research (Krosnick & Presser, 2010; Schwarz, 1999).

Best practice for creating items

Word items as questions rather than statements and avoid 'agree-disagree' response options.

Agree-disagree response options may introduce acquiescence bias, which is the tendency to agree with an item regardless of its content (Wright, 1975). Asking respondents to rate their level of agreement to different statements can be cognitively demanding, which increases respondent error and reduces respondent effort (Fowler, 2009). Instead, use verbally labelled response options that reinforce the underlying topic (e.g., the responses for “How happy are you?” would be not at all happy, slightly happy, somewhat happy, quite happy, extremely happy). Empirical evidence demonstrates that agree-disagree response options diminish item quality (Saris, Revilla, Krosnick, Schaeffer, & Shaeffer, 2010), and are among the “worst ways to present items” (Gehlbach & Artino Jr., 2018, p. 361).

Use verbal labels for each response option

Use verbal labels for each response option, rather than labelling only the end points of the response options or labelling with both numbers and verbal labels. This helps to focus the attention of the respondent and reduce measurement error (Artino, Jr. & Gehlbach, 2012).

Ask about one idea at a time

Ask about one idea at a time rather than using double-barrelled items, which ask about two or more ideas in the same question (e.g., instead of asking, “How happy and engaged are you?” ask two questions, one about happiness and one about engagement). If you use double-barrelled items, you risk students responding to only one part of that item (Dillman, Smyth, & Christian, 2014)

Phrase questions with positive language

Phrase questions with positive language rather than using reverse scored or negative language, which students tend to have trouble understanding. Negative words are more difficult to process cognitively, which leads these items to take longer to answer and leads to misresponses (Swain, Weathers, & Niedrich, 2008).

Use at least five response options per scale

Use at least five response options per scale to capture a wider range of perceptions. Research indicates that the “sweet spot” of the number of response anchors is about five (Weng, 2004; Nielsen, Makransky, Vang, & Danmeyer, 2017). A five-item scale that assesses a representative cross-section of a student’s experience should improve measurement (Gehlbach & Artino Jr., 2018).

Maintain equal spacing between repsonse options. Use additional space to visually separate non-substansive response options

Maintain equal spacing between response options, and use additional space to visually separate non-substantive response options. This will reinforce the notion that conceptually, there is equal distance between each response option, which yields less biased responses. Moreover, this will help align the visual midpoint with the conceptual midpoint, reducing measurement error (Artino, Jr. & Gehlbach, 2012). This is especially important if you are administering your questionnaire on paper. Electronic questionnaire administrators such as Qualtrics will space response options equally, and you will have to be aware to add an extra space to separate non-substantive response options (e.g., ‘N/A’). To see some examples, check out the resources for evaluating self-efficacy and take a look at this visual guide ).

Best practice for organising the whole questionnaire

This guidance has been summarised from Gehlbach and Artino (2018).

Ask the more important items earlier in the questionnaire

This will increase the likelihood that respondents will answer these questions whilst they are focused and have energy.

Ensure each item applies to each respondent

Make sure that item content applies to each respondent and is worded accessibly, or you risk alienating respondents to whom the item does not apply (Dillman, Smyth, & Christian, 2014).

Use scales rather than single items

Scales bolster accuracy, with each question addressing a representative cross-section of the experience.

Maintain a consistent visual layout of the questionnaire

This helps maintain clarity for the respondent, who can then complete the questionnaire more efficiently.

Place sensitive items (e.g. demographic questions) later in the questionnaire

Respondents will feel more comfortable sharing this information later on in the questionnaire.

Artino, Jr., A. R., & Gehlbach, H. (2012). AM Last Page: Avoiding Four Visual-Design Pitfalls in Survey Development. Academic Medicine, 87 (10), 1452. Retrieved from https://www.researchgate.net/profile/Hunter_Gehlbach/publication/231210670_AM_Last_Page_Avoiding_Four_Visual-Design_Pitfalls_in_Survey_Development/links/5a835de6aca272d6501eb6a3/AM-Last-Page-Avoiding-Four-Visual-Design-Pitfalls-in-Survey-Development.pdf

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method (4th ed.). Hoboken, New Jersey: John Wiley & Sons, Inc.

Gehlbach, H., & Artino Jr., A. R. (2018). The survey checklist (manifesto). Academic Medicine, 93 (3), 360-366. Retrieved from https://journals.lww.com/academicmedicine/fulltext/2018/03000/The_Survey_Checklist__Manifesto_.18.aspx#pdf-link

Gehlbach, H., & Brinkworth, M. E. (2011). Measure twice, cut down error: A process for enhancing the validity of survey scales. Review of General Psychology, 15 (4), 380-387. Retrieved from https://dash.harvard.edu/bitstream/handle/1/8138346/Gehlbach%20-%20Measure%20twice%208-31-11.pdf?sequence=1&isAllowed=y

Krosnick, J. A., & Presser, S. (2010). Question and questionnaire design. In P. V. Marsden, & J. D. Wright (Eds.), Handbook of Survey Research. Bingley, England: Emerald Group Publishing.

Nielsen, T., Makransky, G., Vang, M. L., & Danmeyer, J. (2017). How specific is specific self-efficacy? A construct validity study using Raschmeasurement models. Studies in Educational Evaluation, 53 , 87-97.

Saris, W. E., Revilla, M., Krosnick, J. A., Schaeffer, E. M., & Shaeffer, E. M. (2010). Comparing questions with agree/disagree response options to questions with item-specific response options. Survey Research Methods, 4 , 61-79.

Schwarz, N. (1999). Self-reports: how the questions shape the answers. American Psychology, 54 , 93-105.

Swain, S. D., Weathers, D., & Niedrich, R. W. (2008). Assessing three sources of misreponse to reversed Likert items. Journal of Marketing Research, 45 , 116-131.

Weng, L. -J. (2004). Impact of the number of response categories and anchor labels on coefficient alpha and test-retest reliability. Educational and Psychological Measurement, 64 , 956-972. Retrieved from https://journals.sagepub.com/doi/pdf/10.1177/0013164404268674

Wright, J. D. (1975). Does acquiescence bias the 'Index of Political Efficacy?'. The Public Opinion Quarterly, 39 (2), 219-226.

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.

Great insights there Doc

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How to Write a Thesis or Dissertation Questionnaire?

Published by Alvin Nicolas at August 7th, 2024 , Revised On August 7, 2024

Do you know the first questionnaire was developed in 1838? It was designed to collect responses from individuals to understand their behaviour towards various stimuli. Since then, scientists have been using questionnaires to collect statistical data. The invention of the questionnaire gave birth to subjects like Sociology and Statistics .

Nowadays, sociology or psychology students also collect statistical data and information using questionnaires to understand individuals’ behaviour. Excellent questionnaires help produce high-quality research results.

This blog comprehensively discusses what a thesis or dissertation questionnaire is and the steps involved in writing one. Learn how to write a questionnaire and optimise your research process .

What is a Thesis or Dissertation Questionnaire?

A questionnaire is a set of specific questions that are particularly designed to assess the preferences, intentions, experiences, opinions, and behaviour of the individuals. In a thesis or dissertation, students use questionnaires to collect qualitative or quantitative data relevant to their subjects.

However, using questionnaires to collect data and information is a very tiresome and hectic task because researchers have to wait for the respondents to answer all the questions.

Importance of Thesis & Dissertation Questionnaire

Imagine you want to ask one or two questions from an individual. You can easily ask him/her those questions. What would you do when you have to record their thorough response to multiple questions? In that case, the questionnaire is the best option for collecting individual responses.

A thesis or dissertation questionnaire does not specify precisely whether it is used for simple research or a survey. In the case of a survey, there would always be a questionnaire. Here are the reasons why a thesis or dissertation questionnaire is important during the research process:

• Questionnaires help researchers collect data in an organised and systematic manner.
• With questionnaires, data can be efficiently analysed and quick conclusions can be drawn.
• There are no extensive costs involved in to design research questionnaires. It is a cost-effective method to collect data.
• Researchers can ask multiple questions to record the response about a specific topic thoroughly.

Several formalities are involved in collecting data through a questionnaire. One basic consideration is the dissertation questionnaire consent form.

Dissertation Questionnaire Consent Form

The questionnaire consent form is the document the participants sign to indicate their consent to participate in the research process. It is crucial to ask for their consent because data and information are used for research purposes. Also, inform them about the topic so they can decide efficiently.

The questionnaire consent form is usually presented on the first page of the thesis or dissertation questionnaire. It contains the participant’s personal and contact information.

Online Dissertation Questionnaire

As you know, in this digital age, everything is shifting to digital platforms. There was a time when researchers had to wait for the individuals to fill out the questionnaire paper. No doubt, it was a tiresome task. Now, researchers send the thesis or dissertation questionnaires to digital platforms such as email, inbox, and social media.

Online dissertation questionnaire tools such as Google Forms, Microsoft Forms, and SurveyPlanet have made data analysis and collection much more convenient and reliable.

Components of an Excellent Dissertation Questionnaire

These are the components of an excellent thesis or dissertation questionnaire:

It has a Structured Design

The best property of a good dissertation questionnaire is its structured design. When questions and their categories are efficiently structured in a questionnaire, it provides an eye-catching look. This helps the participants to fill out the questionnaire more proficiently.

It Contains Unique and Exploratory Questions

An outstanding questionnaire always has unique and well-researched questions rather than overly used typical ones. Every question can provide a sufficient response. It contains exploratory questions to explore even minor information about the participants thoroughly.

It has Likert Scales

Likert scales are a measurement method in research to assess attitudes, opinions, and perceptions. They are widely used in the questionnaires to generate responses accurately. When a questionnaire has Likert scales, it makes it easy for the researchers to derive results from that.

It has Consistency of Questions

Another sign of an excellent question is its consistency. It contains perfectly categorised questions that make sense to the participants from start to end. Every question follows an appropriate question systematically.

Difference Between Questionnaire and Survey

Steps Involved in Writing a Dissertation Questionnaire

Writing a thesis or dissertation questionnaire requires different methods. These methods can be modified accordingly to make your questionnaire relevant to your research objectives. However, the essential steps involved in writing a dissertation questionnaire are given as follows:

Step 1: Establish Your Research Objectives To Ese Your Research Process

The first step in writing a thesis or dissertation question is establishing the research objectives. You have to be clear about your research goals. The research is usually done to fill an already-present gap in the data. It is done to find significant solutions to specific problems. It is crucial to have the goals to solve a problem.

Step 2: Assess the Requirements to Ensure They Are Achievable

It is also important to assess the research requirements. Requirements will help you know what you need and what you don’t need to write your research questionnaire. It is easy to start a research process when all the requirements are easily achievable. Also, the time and money spent on the questionnaire should be considered.

Step 3: Choose the Right Data Collection Method To Derive Authentic Results

There are many data collection methods , such as in-person, telephone, email, direct mail, and online platforms. It is essential to choose the proper data collection method that can be easily used to deliver authentic results. You should also design your questionnaire according to the collection method.

Methodology

Methodology is the collection of particular techniques for collecting and processing data. Create an efficient research methodology to collect data accurately. It will help you optimise and streamline your research process.

Step 4: Develop the Unique and Logical Questions for Data Collection

After selecting an appropriate data collection method, it is time to develop unique questionnaire questions. The questions should be logical and follow a series of numbers. Close-ended questions are used in the writing of dissertation or thesis questionnaires.

Step 5: Set the Perfect Scaling According to Your Questions

Scaling is used to calculate the response of the participants. Researchers should set the perfect scaling according to the nature of the questions. The Likert scale is the most widely used in questionnaires. It allows researchers to generate responses of participants from the right extreme to the left extreme.

Step 6: Creatively Design the Questionnaire to Enhance Its Visual Appeal

The next step is designing the layout of the questionnaire. It is crucial to enhance the visual appeal of the questionnaire. The design and colour of the questionnaire should be selected according to the theme of the topic. Moreover, a graphically appealing questionnaire also enhances the engagement of readers.

Step 7: Analysing & Evaluation the Questionnaire To Remove Discrepancies

The most important step after designing is analysing and evaluating. This step will allow you to fill gaps if there are any. Check the alignment of the questions and scaling. The numbering should be perfect. The colouring and design should also be on point. This step proceeds with the testing.

Step 8: Pretest With a Small Population and Collect Necessary Feedback

After completing the questionnaire, prepare to pretest it with a small population. Check the responses of the participants thoroughly. Be open to feedback and criticism. It will help you consider revisions and alterations and improve your questionnaire.

Step 9: Revise to Make Changes To Enhance the Quality

If there are any changes required in the questionnaire, make them immediately. Revise your questionnaire again and again to illuminate even a minor mistake. Also, take feedback from your peers to further enhance the quality of your questionnaire.

Step 10: Finalising the Questionnaire and Launching it for the Research

When all the required changes and revisions are made, it’s time to finalise the questionnaire. Again, go through all its important obligations and ensure everything is in perfect shape. When everything is done from your side, it’s time to finalise and launch it for the actual research.

Dissertation Questionnaire Examples

Here, we’ll discuss the sample and template of the dissertation questionnaire to understand how it looks. This will significantly help us create our dissertation questionnaire.

Dissertation Questionnaire Template

Here is a template of the dissertation questionnaire:

[Introduction of the Researcher with all the key objectives briefly explained.]

[Questionnaire consent Form]

Dissertation Questionnaire Example

Introduction: Hello. My name is ……….. I am currently studying at………………. and doing my …………………………. I am conducting this research to [agenda of the study].This research will help me to provide solutions to all these problems:

[Problems and solutions]

This questionnaire contains XX questions. It will just take 15 minutes to complete it. All your personal information and responses will be kept anonymous from other participants. There are both open-ended and close-ended questions. Answer them honestly. Thank you.

Part 1: Multiple Choice Questions

• Are you a male or a female?

• Have you completed your bachelor’s degree?

• Did you study your major according to your passion?
• Are you doing a job related to your degree?
• Are you satisfied with your current job?

Frequently Asked Questions

How long should a dissertation questionnaire be.

The length of your questionnaire should be according to your objectives. There is no fixed number of questions in a questionnaire. Some questionnaires are basic, some are exploratory, and some are in-depth. However, an ideal questionnaire should be completed in 25 to 30 minutes without losing the participant’s interest. 

How many questions should a dissertation questionnaire have?

It’s entirely up to you to add as many questions as you want. Remember that you should add enough questions to complete your research objectives. Avoid adding excessive questions, as they can be boring for participants.

How to analyse a questionnaire for a dissertation?

These are the necessary tips to analyse a questionnaire for a dissertation: 

• Pile up all the responses 
• Analyse all the questions
• Visualise the collected data
• Interpretation of results

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This brief introductory section aims to deal with the definitions of two paradigms, positivism and post-positivism, as well as their importance in research.

Stuck on the recommendations section of your research? Read our guide on how to write recommendations for a research study and get started.

Anyone who supports you in your research should be acknowledged in dissertation acknowledgments. Learn more on how to write dissertation acknowledgements.

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Surveys are a special research tool with strengths, weaknesses, and a language all of their own. There are many different steps to designing and conducting a survey, and survey researchers have specific ways of describing what they do.

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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 .

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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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A Comprehensive Guide for Designing and Administering a Questionnaire

Once your PhD thesis proposal is approved, the next step involves actual data collection. Depending on the study, a student may choose to collect secondary data, primary data or both.

A questionnaire is used to collect primary data. It is a set of questions that a researcher asks his/her research respondents so as to understand the problem under investigation.

A questionnaire can be structured, unstructured or semi-structured. The differences among these three are explained below:

• Unstructured
• Semi-structured

Has closed-ended questions.

Q1. Has covid-19 affected your business?

Has open-ended questions.

Q1. What is your opinion about the covid-19 vaccine?

_____________________________________________________________

Has a mix of both closed-ended and open-ended questions.

Q1. Has covid-19 affected your business? 1. Yes 2. No

Please explain _____________________________________________________

This guide discusses the best practices for designing and administering a questionnaire.

Designing a questionnaire

Introduction, administering a questionnaire, facilitated questionnaires, self-administered questionnaires, training research assistants, pre-testing a questionnaire, protocols for administering questionnaire, recommended resources.

The design of a questionnaire is a key determining factor of how it will be received by the potential respondents.

A questionnaire has three distinct parts: the introduction, the questions, and the conclusion.

In the introduction section of a questionnaire, the researcher outlines the following: who is carrying out the study, the purpose of the study, what information will be collected from the respondent, the process used to identify the respondent, use (and permission for use) of audio recording, the average amount of time required to fill the questionnaire, how the data collected will be used, the risks or inconveniences of participating in the study, the benefits of participating in the study, and any compensation plans for participants.

Additionally, the introduction section also includes ethical issues related to participating in the study such as protection of personal privacy of the respondents, upholding the confidentiality of the data collected, voluntary nature of participation in the study, and informed consent of the respondents. The researcher should also include contact details in case the respondents would want to reach out to them in future.

Below is a sample of introduction to a questionnaire.

The design and structure of the questions in a questionnaire matter greatly. The following factors should be considered when designing the questions:

Flow of questions: the questions should flow in a logical manner. It is therefore important to organise the questions by sub-topics.

In the example of effects of covid-19 on micro and small enterprises, the student can organise the questionnaire by the following sub-topics: revenue, customers, employment etc.

Language used: the language should be simple and clear. Do not use jargons that a layman cannot understand. Not all respondents have high level of education, and even if they did, they may not be experts in your field of study.

Types of questions: there are different types of questions that can be used. Make sure to mix them up to make the questionnaire more appealing.

The following table lists the different types of questions you can include in a questionnaire:

• Demographic
• Two-option response
• Multiple choice
• Rating scale
• Likert scale

These are questions on the socio-economic background of the respondent.

They are best used to disaggregate the data or to check for differences between different socio-economic groups.

They are best placed at the beginning of the questionnaire, after the introduction.

Examples include:

Q1. What is your age? ___________

Q2. What is your highest level of education? 1. No education 2. Primary 3. Secondary 4. Tertiary

Q3. What is your marital status? 1. Single 2. Married 3. Divorced 4. Separated

These are questions whose responses fall into two groups only.

Q1. Do you have children? 1. Yes 2. No

Q2. Are you employed? 1. Yes 2. No

Q3. What is your gender*? 1. Male 2. Female

• It is important to be careful about some questions such as gender because some people do not identify with either of the options provided.

Unlike the two-option response questions, these questions provide many response options.

The response options should be as exhaustive as possible.

Q1. For your last birth, who assisted you to deliver? 1. Traditional birth attendant 2. Midwife 3. Nurse 4. Doctor 5. Other (specify) _____________

Q2. What is your main source of water for your household? 1. Piped water 2. Borehole water 3. Rain water 4. Surface water (river, lake) 5. Other (specify) _______________

Always include “other” and/or “don’t know” responses for the multiple-choice questions.

A rating scale question asks respondents to rate a product or service on a scale. The scale can be 0-10, 0-100 etc.

Q1. On a scale of 0-10 (where 0 is extremely dissatisfied and 10 is extremely satisfied), what is your level of satisfaction with the services provided by the Water Services Board?

Likert scale questions are used to gauge the opinions and feelings of respondents on a particular issue.

Q1. I am satisfied with the measures the county government has put in place to cushion micro and small enterprises from negative effects of covid-19 pandemic.

1. Strongly disagree 2. Disagree 3. Neutral 4. Agree 5. Strongly agree

Matrix questions are used when several questions require similar response type. For instance if you have multiple rating scale or likert scale questions with the same response types, you can put the questions in a table.

The questions can be on the first column and the responses on the first row. The respondent then selects the response that applies to each of the questions in the table.

Include “skip logic” where applicable: skip logic instructs respondents to skip certain questions based on their responses to previous questions.

For example: if question 2 is “Do you have children?” and questions 3 and 4 are questions about the children (e.g where they were delivered, if they have been vaccinated etc), then those who responded “No” to question 2 should be asked to skip to question 5 because question 3 and 4 do not apply to them.

Recall questions

Some questionnaires include questions which respondents to remember an event that happened in the past. If the recall period is long (longer than one year), the respondent is highly likely to give false responses. In such situations, the respondents can use aids to help them remember the actual details of the event.

For example: a question about the types of vaccinations a child below the age of 5 has received would be easier on a mother whose child is less than one year. If the child is say 4 years old, it may be difficult for the mother to remember all the vaccinations the child received and when they were administered. In such a situation, the mother may refer to her child’s vaccination schedule handbook which lists all the vaccines the child got and when they got them.

Length of the questionnaire

There needs to be a balance when it comes to the length of the questionnaire.

A very short questionnaire may increase response rate but may fail to achieve all the study’s objectives as it may leave out some key questions.

On the other hand, a very long questionnaire may lead to high response rate due to fatigue of the respondent (and the interviewer) even though it may include all the necessary questions needed to achieve the study’s objectives.

After you are done asking the respondent questions, it is important to give them the opportunity to ask any questions they may have.

Additionally, thank them for the time they spent answering your questions/filling in the questionnaire.

Restate how the data will be used and how they would be able to get the results of the study should they be interested.

There are two methods of administering questionnaires: facilitated questionnaires and self-administered questionnaires.

In facilitated questionnaires, the researcher (or a trained research assistant) administers the questionnaire directly to the respondent. This can be done either through a face-to-face interview or telephone interview.

If a researcher plans to use research assistants to help with the questionnaire administration, he must train them to ensure they are on the same level of understanding.

Facilitated questionnaires have advantages and disadvantages:

• Advantages of facilitated questionnaires
• Disadvantages of facilitated questionnaires
• They result in higher response rate compared to self-administered questionnaires.
• The researcher is present to clarify the questions if need be.
• The respondents do not need to have high literacy levels.
• They are costly (especially the face-to-face method of administration). The costs may include: travel costs to meet the respondents, personnel costs if using research assistants, accommodation costs if the interview is taking place far from the interviewers’ area of residence).
• They are more time-consuming compared to self-administered questionnaires.
• They are prone to interviewer bias. The interviewer can influence the responses given through questioning the respondent on the response given, prompting responses from the respondent, interpreting the questions for the respondent etc. To minimise bias, the interviewer (and research assistants) need to be trained on effective interviewing skills.
• They do not offer privacy to the respondents and may be uncomfortable for sensitive questions.

In self-administered questionnaires, the respondent fills in the questionnaire without the presence of the researcher.

There are different ways of delivering self-administered questionnaires: through post office, email address, mobile phone, or web-based.

Questionnaires sent through the post office should include a stamped envelop that the respondent can use to mail back to the researcher. This ensures that the respondent does not incur costs for mailing and is one way of increasing the response rate.

Self-administered questionnaires should be designed taking into consideration the layout of the questionnaire (font type used, font size, order of questions, simple instructions and skip logics). The layout of the questionnaire should make it easy for the respondents to fill in the questionnaire.

Self-administered questionnaires also have their advantages and disadvantages:

• Advantages of self-administered questionnaires
• Disadvantages

They are less costly.

They can be distributed to a wider reach in a short time.

They are not prone to researcher bias because the respondent fills the questionnaire without any assistance of the researcher.

They are the best option for sensitive questions because of the privacy they offer.

They require the respondents to have high literacy levels.

They lead to low response rates.

Web-based and mobile phone-based questionnaires require respondents to have high internet connectivity.

In some cases, the researcher may not be able to carry out the data collection all by himself. This may be the case if the sample size is large and the time is limited.

The researcher can enlist the services of research assistants to help with the data collection. The research assistants should be trained on the questionnaire before the data collection exercise starts.

When training the research assistants:

Set a date and time when all the research assistants will be available and train them at the same time.

Explain to the research assistants the purpose of the study, the importance of the data being collected and how it will be used, who the respondents are and how they were selected etc.

Be clear to the research assistants on what is expected of them, for example, how much they will be paid, how many questionnaires they are expected to administer, the start and end dates of the data collection exercise.

During the training, go through all the questions, one-by-one. Discuss each question on its own making sure that all the research assistants have the same understanding about the question. Discuss if the question is simple and easy to understand, and is not ambiguous.

For closed-ended questions, go through the responses making sure they make sense and are exhaustive enough.

Go through the instructions for each question, making sure that the instructions are easy to understand.

Go through the skip logics used in the questionnaire, making sure that they are simple and easy to follow.

Allow for a Q&A session where you respond to all the questions the research assistants may have.

Sign a contract with the research assistants before they start the data collection exercise.

After designing the questionnaire and training the research assistants, the next important step is to pre-test the questionnaire.

Before the questionnaire is administered to the target population, it is good practice to pre-test it.

Pre-testing vs. pilot-testing

Most people use pre-testing and pilot-testing interchangeably but the two are different. Whereas pre-testing entails testing the usefulness and adequacy of a data collection tool (like questionnaire), pilot testing goes beyond that. Pilot testing entails testing the feasibility of the entire study and involves conducting a mini-study before the entire study is launched. It therefore checks for the viability of the research design, the data collection tool, the logistics of conducting the study, the adequacy of the sampling technique, sample frame and sample size etc. Pre-testing is therefore nested within a pilot study. Pilot testing is best done when the target population is large.

Pretesting the questionnaire entails administering the same questionnaire to a small sample from the target population before it is administered to the larger sample.

Pre-testing should be done with individuals from the same target population, not just any population. For instance, if the target population is pregnant women, the pretest should be done with a few pregnant women, not just any woman. However, respondents who take part in the pre-test should not be included in the main study.

Additionally, if using research assistants for the study, the (trained) research assistants should be involved in the pre-test. Do not use someone else who will not be part of the main study to pre-test the questionnaire. Pre-testing is a good way for the trained research assistants to gain experience with the tool and the process and bring up any issues they may encounter so that they can be corrected before the questionnaire is administered.

The purpose of pre-testing is to:

• Identify any ambiguous or unclear questions in the questionnaire.
• Ensure that the targeted respondents have a good understanding of the questions that are in the tool.
• Check if the wording and ordering of the questions is correct.
• Check if there are unnecessary questions that need to be removed or important missing questions that need to be added.
• Check if the layout, structure and length of the questionnaire is OK.

After the pre-test is done, all the issues raised should be addressed and the questionnaire corrected before it is launched.

Depending on the nature of study, the student may need to observe some protocols before the questionnaire can be administered.

Some common protocols include:

• Obtaining ethical clearance from the relevant authority.
• If data will be collected from organisations, the student should visit the organisations first and create rapport with the management before the study is launched. During the visits, the student should explain the purpose of the study and the need for collecting data from them. An introduction letter is key for this protocol.
• Sending an introduction letter in advance to the identified sample.
• Seeking audience with community leaders and informing them about the study, its purpose, how the sample was identified and what the data will be used for. This is very important when the target population involves members of local communities. Establishing rapport with the local leaders not only helps with their buy-in but the leaders can be instrumental in mobilising the community members to ensure they are co-operative during the study.

In conclusion, designing and administering questionnaires are vital skills for PhD students to gain especially if their future career will be in research. This article provided some key guidelines on designing effective questionnaires and administering them so as to achieve the study’s objectives.

http://www.saciwaters.org/CB/IFRM/IFRM/IV.%20Literature/Module%206_Qualitative%20Research%20Methods/6.4%20Questionnaire%20Design_Acharya%20Bidhan.pdf

https://journals.sagepub.com/doi/pdf/10.5005/jp-journals-10021-1104

Grace Njeri-Otieno

Grace Njeri-Otieno is a Kenyan, a wife, a mom, and currently a PhD student, among many other balls she juggles. She holds a Bachelors' and Masters' degrees in Economics and has more than 7 years' experience with an INGO. She was inspired to start this site so as to share the lessons learned throughout her PhD journey with other PhD students. Her vision for this site is "to become a go-to resource center for PhD students in all their spheres of learning."

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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.

When developing the questionnaire format, keep in mind that questionnaires typically have three parts: general instructions, personal information, and the body.

The purpose of the general instructions is to help the person completing the questionnaire have a general understanding of the purpose of the research study, provide a general orientation of the topic of the questionnaire, and describe informed consent. As described on the Research Ethics page, participants have the right to informed consent when participating in a research study, so the researcher must explain the purpose of the research, the requirements of participation, and who is sponsoring the research. Therefore, the general instructions need to include the following:

• Introduction of researcher. What is your name? What institution are you affiliated with? My name is Dr Katrina Korb and I am completing a research study from the University of Jos.
• Purpose of the questionnaire. What is the purpose of the questionnaire? Take caution with this statement, though. Sometimes the introduction will state The purpose of this research is to identify academic malpractices that students engage in. This statement will likely put students on their guard and they will not be honest in how they respond. Instead, give only a vague, general description of the purpose of the questionnaire. A less biasing statement might read: The purpose of this research is to identify students' study habits. You only have to describe the purpose of the questionnaire, not necessarily the purpose of the entire study. Do not lie about the purpose of the questionnaire, but also be sure that the statement of purpose does not lead respondents to a specific response. In general, keep this purpose statement as general as possible.
• Confidentiality Statement. One ethical consideration of research is that participants' responses are confidential, and participants need to know this. Your responses will be confidential. If it is possible for the participant to complete the questionnaire anonymously (meaning that they do not write their name on the questionnaire), add: Do NOT write your name on this questionnaire, so your responses will never be linked to you personally. However, as described on the Research Ethics page, this is not always possible. If participants need to write their name on the questionnaire, add: Only the researchers involved in this study will see your responses. Be specific about who those researchers are, if possible.
• Voluntary participation. Another ethical consideration of research is that participants are not forced to engage in the research study. Participants need to be aware that they do not have to complete the questionnaire, and also that they do not have to answer any items they feel uncomfortable with. Your participation in this study is voluntary. If you do not want to participate, please return the questionnaire to the researcher. You also do not have to answer any question that makes you uncomfortable.
• How to submit the questionnaire. If the researcher will not be present the entire time that the participant will be completing the questionnaire, tell them how to return the questionnaire to the researcher. Please return the completed questionnaire to my office, K07, by 5 September.

Part of the general instructions also includes the title of the questionnaire. Just as the directions should not lead participants to a desired response, the title also should not bias participants. Again, it is better to keep the questionnaire title as general as possible. A sample of general instructions is:

• Label response options for coding. If you want to analyze your data on the computer, then you will need to code the data. This will be described more fully in Data Coding . Briefly, the general idea of coding is to attach symbols to responses. For example, you won't want to type Male, Male, Male, Male for every male in the sample. Instead, it is easier to attach a symbol to the Male response (maybe a, M, or 1). Therefore, it is oftentimes easiest to add a label to each response, like a multiple choice test. For example: What is you age? a) Under 10, b) 10-11, c) 12-13, d) 14-15, e) 16-17, f) 18 or older. Then, when entering data in the computer, you can simply type a, b, or c.
• General directions for responding. Participants need a general idea of what to expect for the items that they will soon be responding to. Write a statement or two to prime them for what to expect in the subsequent items. For example, I included the following statement in the questionnaire about teachers' beliefs of literacy development: The following items describe statements about children learning how to read.
• How to respond. Should participants circle their responses, tick their agreement, pick two or three out of a list that represents them, etc.?

To keep the questionnaire short and clear to participants, do not give them too much information that they do not need. For example, I oftentimes see questionnaires that read "SA=4, A=3, D=2, SD=1, for reverse coded items, SA=1, A=2, D=3, SD=4." Participants do not need to know this information; they only need to know how to respond. This information is only for the researcher when it comes time to code the questionnaire responses, as will be described in Coding Data . Indeed, providing this information will likely confuse the participant. It will also increase the time it takes to complete the questionnaire because the participant will have to read over these confusing directions and think through it, which will cause them to be more fatigued when it comes to information they actually need to know.

• Intrinsic Motivation
• Self Esteem
• Extrinsic Motivation
• Every item should have an obvious place for each response.
• Response categories (i.e., SA, A, D, SD) should be clearly described before participants respond.
• Circling responses is typically better than ticking in a box.
• Every set of items with a different style of responding requires a new set of directions.

When developing questionnaire items, it was mentioned that it is good to read over the questionnaire as if you were a participant. Likewise, when you get a final draft of the questionnaire printed, make one copy of it. Complete the copy of the questionnaire like you are the participant. Are the directions clear? Is it clear how to respond? Is it clear where to respond? Is the formatting appealing? Likewise, read over each question looking for spelling or grammatical mistakes. Make the typist correct any formatting, spelling, or grammatical errors that you find.

Once the questionnaire has been drafted and revised, revised, revised by the researcher and colleagues, then it is time to pilot the questionnaire. The purpose of the pilot study is simply to determine whether the questionnaire is effective for the purposes of the study. Therefore, you are not interested in answering the research questions or testing the hypotheses, but merely interested in whether participants understand the questionnaire, give adequate responses, and the responses can answer the research questions. The pilot study does not need to be large, and a smaller pilot study can actually be more effective because the researcher can then talk to the participants and ask them what they were confused about on the questionnaire. After getting results from the pilot study, make corrections to the questionnaire. If significant changes are necessary, then the researcher needs to conduct a second pilot study and make more changes. The pilot studies are finished when the researcher is finished making substantial changes to the questionnaire.

Copyright 2012, Katrina A. Korb, All Rights Reserved

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• Education and Communications

How to Develop a Questionnaire for Research

Last Updated: July 21, 2024 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 12 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 593,020 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. 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. [8] 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. [11] 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. [12] 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. [13] 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. [14] 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. [18] 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.

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.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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• Survey Research | Definition, Examples & Methods

Survey Research | Definition, Examples & Methods

Published on August 20, 2019 by Shona McCombes . Revised on June 22, 2023.

Survey research means collecting information about a group of people by asking them questions and analyzing the results. To conduct an effective survey, follow these six steps:

• Determine who will participate in the survey
• Decide the type of survey (mail, online, or in-person)
• Design the survey questions and layout
• Distribute the survey
• Analyze the responses
• Write up the results

Surveys are a flexible method of data collection that can be used in many different types of research .

Table of contents

What are surveys used for, step 1: define the population and sample, step 2: decide on the type of survey, step 3: design the survey questions, step 4: distribute the survey and collect responses, step 5: analyze the survey results, step 6: write up the survey results, other interesting articles, frequently asked questions about surveys.

Surveys are used as a method of gathering data in many different fields. They are a good choice when you want to find out about the characteristics, preferences, opinions, or beliefs of a group of people.

Common uses of survey research include:

• Social research : investigating the experiences and characteristics of different social groups
• Market research : finding out what customers think about products, services, and companies
• Health research : collecting data from patients about symptoms and treatments
• Politics : measuring public opinion about parties and policies
• Psychology : researching personality traits, preferences and behaviours

Surveys can be used in both cross-sectional studies , where you collect data just once, and in longitudinal studies , where you survey the same sample several times over an extended period.

Prevent plagiarism. Run a free check.

Before you start conducting survey research, you should already have a clear research question that defines what you want to find out. Based on this question, you need to determine exactly who you will target to participate in the survey.

Populations

The target population is the specific group of people that you want to find out about. This group can be very broad or relatively narrow. For example:

• The population of Brazil
• US college students
• Second-generation immigrants in the Netherlands
• Customers of a specific company aged 18-24
• British transgender women over the age of 50

Your survey should aim to produce results that can be generalized to the whole population. That means you need to carefully define exactly who you want to draw conclusions about.

Several common research biases can arise if your survey is not generalizable, particularly sampling bias and selection bias . The presence of these biases have serious repercussions for the validity of your results.

It’s rarely possible to survey the entire population of your research – it would be very difficult to get a response from every person in Brazil or every college student in the US. Instead, you will usually survey a sample from the population.

The sample size depends on how big the population is. You can use an online sample calculator to work out how many responses you need.

There are many sampling methods that allow you to generalize to broad populations. In general, though, the sample should aim to be representative of the population as a whole. The larger and more representative your sample, the more valid your conclusions. Again, beware of various types of sampling bias as you design your sample, particularly self-selection bias , nonresponse bias , undercoverage bias , and survivorship bias .

There are two main types of survey:

• A questionnaire , where a list of questions is distributed by mail, online or in person, and respondents fill it out themselves.
• An interview , where the researcher asks a set of questions by phone or in person and records the responses.

Which type you choose depends on the sample size and location, as well as the focus of the research.

Questionnaires

Sending out a paper survey by mail is a common method of gathering demographic information (for example, in a government census of the population).

• You can easily access a large sample.
• You have some control over who is included in the sample (e.g. residents of a specific region).
• The response rate is often low, and at risk for biases like self-selection bias .

Online surveys are a popular choice for students doing dissertation research , due to the low cost and flexibility of this method. There are many online tools available for constructing surveys, such as SurveyMonkey and Google Forms .

• You can quickly access a large sample without constraints on time or location.
• The data is easy to process and analyze.
• The anonymity and accessibility of online surveys mean you have less control over who responds, which can lead to biases like self-selection bias .

If your research focuses on a specific location, you can distribute a written questionnaire to be completed by respondents on the spot. For example, you could approach the customers of a shopping mall or ask all students to complete a questionnaire at the end of a class.

• You can screen respondents to make sure only people in the target population are included in the sample.
• You can collect time- and location-specific data (e.g. the opinions of a store’s weekday customers).
• The sample size will be smaller, so this method is less suitable for collecting data on broad populations and is at risk for sampling bias .

Oral interviews are a useful method for smaller sample sizes. They allow you to gather more in-depth information on people’s opinions and preferences. You can conduct interviews by phone or in person.

• You have personal contact with respondents, so you know exactly who will be included in the sample in advance.
• You can clarify questions and ask for follow-up information when necessary.
• The lack of anonymity may cause respondents to answer less honestly, and there is more risk of researcher bias.

Like questionnaires, interviews can be used to collect quantitative data: the researcher records each response as a category or rating and statistically analyzes the results. But they are more commonly used to collect qualitative data : the interviewees’ full responses are transcribed and analyzed individually to gain a richer understanding of their opinions and feelings.

Next, you need to decide which questions you will ask and how you will ask them. It’s important to consider:

• The type of questions
• The content of the questions
• The phrasing of the questions
• The ordering and layout of the survey

Open-ended vs closed-ended questions

There are two main forms of survey questions: open-ended and closed-ended. Many surveys use a combination of both.

Closed-ended questions give the respondent a predetermined set of answers to choose from. A closed-ended question can include:

• A binary answer (e.g. yes/no or agree/disagree )
• A scale (e.g. a Likert scale with five points ranging from strongly agree to strongly disagree )
• A list of options with a single answer possible (e.g. age categories)
• A list of options with multiple answers possible (e.g. leisure interests)

Closed-ended questions are best for quantitative research . They provide you with numerical data that can be statistically analyzed to find patterns, trends, and correlations .

Open-ended questions are best for qualitative research. This type of question has no predetermined answers to choose from. Instead, the respondent answers in their own words.

Open questions are most common in interviews, but you can also use them in questionnaires. They are often useful as follow-up questions to ask for more detailed explanations of responses to the closed questions.

The content of the survey questions

To ensure the validity and reliability of your results, you need to carefully consider each question in the survey. All questions should be narrowly focused with enough context for the respondent to answer accurately. Avoid questions that are not directly relevant to the survey’s purpose.

When constructing closed-ended questions, ensure that the options cover all possibilities. If you include a list of options that isn’t exhaustive, you can add an “other” field.

Phrasing the survey questions

In terms of language, the survey questions should be as clear and precise as possible. Tailor the questions to your target population, keeping in mind their level of knowledge of the topic. Avoid jargon or industry-specific terminology.

Survey questions are at risk for biases like social desirability bias , the Hawthorne effect , or demand characteristics . It’s critical to use language that respondents will easily understand, and avoid words with vague or ambiguous meanings. Make sure your questions are phrased neutrally, with no indication that you’d prefer a particular answer or emotion.

Ordering the survey questions

The questions should be arranged in a logical order. Start with easy, non-sensitive, closed-ended questions that will encourage the respondent to continue.

If the survey covers several different topics or themes, group together related questions. You can divide a questionnaire into sections to help respondents understand what is being asked in each part.

If a question refers back to or depends on the answer to a previous question, they should be placed directly next to one another.

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Before you start, create a clear plan for where, when, how, and with whom you will conduct the survey. Determine in advance how many responses you require and how you will gain access to the sample.

When you are satisfied that you have created a strong research design suitable for answering your research questions, you can conduct the survey through your method of choice – by mail, online, or in person.

There are many methods of analyzing the results of your survey. First you have to process the data, usually with the help of a computer program to sort all the responses. You should also clean the data by removing incomplete or incorrectly completed responses.

If you asked open-ended questions, you will have to code the responses by assigning labels to each response and organizing them into categories or themes. You can also use more qualitative methods, such as thematic analysis , which is especially suitable for analyzing interviews.

Statistical analysis is usually conducted using programs like SPSS or Stata. The same set of survey data can be subject to many analyses.

Finally, when you have collected and analyzed all the necessary data, you will write it up as part of your thesis, dissertation , or research paper .

In the methodology section, you describe exactly how you conducted the survey. You should explain the types of questions you used, the sampling method, when and where the survey took place, and the response rate. You can include the full questionnaire as an appendix and refer to it in the text if relevant.

Then introduce the analysis by describing how you prepared the data and the statistical methods you used to analyze it. In the results section, you summarize the key results from your analysis.

In the discussion and conclusion , you give your explanations and interpretations of these results, answer your research question, and reflect on the implications and limitations of the research.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Student’s  t -distribution
• Normal distribution
• Null and Alternative Hypotheses
• Chi square tests
• Confidence interval
• Quartiles & Quantiles
• Cluster sampling
• Stratified sampling
• Data cleansing
• Reproducibility vs Replicability
• Peer review
• Prospective cohort study

Research bias

• Implicit bias
• Cognitive bias
• Placebo effect
• Hawthorne effect
• Hindsight bias
• Affect heuristic
• Social desirability bias

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

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviors. It is made up of 4 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 5 or 7 possible responses, to capture their degree of agreement.

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

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

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

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your sampling methods or criteria for selecting subjects
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

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• Survey & Questionnaire Introduction: Examples + [5 Types]

Whether online or offline, you need to politely approach survey respondents and get them excited to fill your questionnaire when carrying out a research survey. Therefore, before going into the questions you want to ask, you need to kickstart your data collection process with a compelling survey or questionnaire introduction.  

Generally, only a few people would even listen to you if you shoved your survey in their faces without a simple introduction first. Survey introductions in online questionnaires help you prepare the minds of your respondents ahead of time and gather the best responses. 

What is a Survey Introduction?

A survey introduction is a concise description with relevant information about a survey. It is the first part of the survey that prospective respondents interact with and it helps them decide whether to fill your questionnaire or not. 

Think of survey introductions as abstracts that communicate the entire essence of the data collection process. Without a good abstract, your thesis gets delayed or unapproved. 

Following through with this thought means that the more exciting your survey introduction is, the higher your chances of collecting the right number of quality survey responses.

Features of a Survey Introduction

A good survey introduction must answer these 5 questions: 

• Who is conducting the survey?

Here, you should include the name of the person or organization that is carrying out the research. 

• What is the research about?

Survey respondents need to understand the aims and objectives of your research. This shows them why your survey is important and why they need to be part of it.  

• How long will the survey take?

Prepare their minds ahead of time by adding an estimated survey-completion time. While shorter surveys are likely to have more respondents, don’t give a false estimation to bait people to fill your survey. 

• Is my data safe?

Data privacy and protection is a huge concern for everyone. Since you plan to collect data from respondents, you need to tell them how you will use this information. You can include a link to your company’s privacy policy.

• How will I fill the survey?

Include instructions on how to fill the survey. Include information about relevant documents for the survey too.  

Your survey should be written in simple language your audience understands. It should be friendly, human and show the respondents how much impact they’ll make by taking part in the survey. Always include a nice “thank you” note in your survey introduction. 

Types of Survey Introduction  

Market survey introduction.

If you’re conducting market research using a survey , then you need a market survey introduction. To get more information about your customers/ target market, you need to conduct a market research survey. A market survey introduction gives your target audience a clear picture of what you want to achieve and how their participation is an important part of it.

Market research serves multiple purposes—sometimes, it is all about getting real-time data to inform product launches. Other times, it is for business expansion or product improvement. With a market survey introduction, you can get your audience on the same page and let them know the exact information you need from them. 

A market survey introduction should answer all the questions we looked at when we discussed the features of a survey introduction. After naming your organization, you should also introduce your product or product idea for brand awareness. 

Because of the type of information, market surveys are longer than other types of surveys ; sometimes, they have multiple sections. So, in your market survey introduction, give respondents a heads-up and let them know completing your survey will take more time than the average. You can add a nice reward they can claim after filling the survey. 

Example of Market Survey Introduction  

At Formplus, we are working to improve online data collection for you. We’d really like to know what you feel about online data gathering tools . Take this 20-minute survey and win a free 1-month Formplus premium subscription. Your data will be collected anonymously and only used for this research. Thank You! 

Student Survey Introduction

A student survey is a method of sampling students’ opinions about the school, teachers, and overall learning experiences. From measuring student satisfaction to evaluating courses, student surveys help you to make the right changes to your school. 

A student survey introduction is the first step in getting the best responses from your students. Encourage students to provide objective feedback and let them know how the information will be used.

In the survey introduction, indicate that all responses will be recorded anonymously. Students need to be sure that they can provide honest feedback in the survey without getting harassed or victimized. 

Example of Student Survey Introduction  

Thank you for being one of our students at Salthill College. Please complete this short 3-minutes survey to let us know how satisfied you are with your overall student experience at our college. All responses are recorded anonymously so feel free to provide honest feedback. Your responses will help us improve our teaching and learning environment. 

Research Questionnaire Introduction  

You need a good research questionnaire introduction during the data-collection phase of your research. People are more likely to fill your questionnaire when they clearly understand what you want to achieve and why your research is important. 

In the research questionnaire introduction, you can include facts, data, or statistics about the research problem. Then, show how the data collected via the questionnaire will contribute to solving the problem. The introduction should also address data privacy, data protection, and participant’s consent. 

Even if you plan to share the questionnaire physically, a good research questionnaire introduction will help collect responses faster and save time. 

Example of Research Questionnaire Introduction  

Hello, I am a postgraduate researcher at the London School of Tropical Medicine. I am conducting a study on effective treatment options for communicable diseases in West Africa and I would like to know your experiences with the signs, symptoms, and treatment of communicable diseases. Please complete this 30-minute survey. Your responses are anonymous and you can skip any questions you are not comfortable with. Thank you for your participation. 

Customer Satisfaction Survey Introduction  

Your customer satisfaction survey introduction should communicate 2 things—appreciation and brevity. First, you should let your customers know how much you love their patronage. Next, tell them that the survey will take just a few minutes. 

Throw in an honorary mention of your brand and then, go through some of the information you’ll need from them in the survey. To increase response rates, you can reward respondents with a gift, discount, or special offer. 

Example of Customer Satisfaction Survey Introduction  

Thank you for shopping at Wreaths and Flowers! We’ll like to ask you a few questions about your shopping experience. Your responses will help us make shopping more enjoyable for you. This will only take 1 minute and you get 30% off your next order when you complete the survey! 

Importance of Survey Introduction

• It outlines the most important information about your survey

People need to know what they are getting into before filling your survey or questionnaire, and that’s exactly why you need a great survey introduction. 

• It’s a great way to welcome respondents

You wouldn’t just walk up to someone to ask for something without a proper introduction so why would you want to do this with your survey or questionnaire ? A questionnaire welcome page sets the mood for requesting responses from your respondents. 

• Quality survey introductions help you gain respondents’ trust

Many people are not excited about filling surveys and questionnaires, which is why they need a push. A survey or questionnaire introduction helps respondents to trust you and heightens their interest in filling your survey. 

A survey introduction answers all the questions participants may have about the questionnaire. Think of it as some sort of FAQs that allows respondents to have a full grasp of your data collection process. 

A questionnaire welcome page boosts survey participation and reduces survey dropout rates. 

It helps survey participants to feel like an important part of the overall data gathering process. Survey introductions show participants that you value their opinions. 

Survey introductions build the participants’ interest in your survey or questionnaire. 

Why Use Formplus to Create Surveys?

• Pre and Post Submission Page

Formplus allows you to add exciting survey introductions to your questionnaire. On the form’s intro page, you can provide a brief description of your survey, information on data privacy, and any other thing they need to know before filling the form. 

You can also customize the form’s post-submission page and include a nice “thank you” note for respondents after they complete the survey or questionnaire. Learn more about our intro and post-submission pages here:

• Intuitive Easy to Use Survey Maker  

The Formplus builder is easy to use and you can build surveys and questionnaires from scratch in no time without writing a single line of code. It has a drag-and-drop feature that allows you to add more than 30 different fields to your form seamlessly. 

• Conditional Logic

Survey participants do not have to see or fill out all the fields in your form. With conditional logic, you can show or hide form fields and pages based on answers provided by respondents. This means survey respondents only have to fill the fields that are relevant to them. 

Conditional logic helps you collect the right type of information from different survey participants. This way, you can avoid extra clutter and collect as much data as you want. 

• Offline Surveys

Formplus supports offline data collection and this means you can collect data in areas with poor or no internet access. Survey participants can fill and submit your questionnaire when they are offline. The data they provide will be automatically synced with our servers or your preferred cloud storage when internet access is restored. 

• Customized Surveys and Questionnaires

Formplus allows you to create beautiful and unique surveys with zero design experience. With the flexible design options, you can change the questionnaire’s background, colors, fonts, and create visually appealing designs. You can also add images and your organization’s logo. 

• Share Forms Easily

With multiple form-sharing options, you can send out your survey and collect responses in many ways. Apart from adding your questionnaire to your website, you can also share it using the social media direct sharing buttons and via email invitations. 

• Google Sheets Integration

With Google sheets integration, you can automatically update form responses in your spreadsheet and keep all form collaborators up to date. This makes it easy for you to import and export data, and collaborate with multiple people at the same time. 

• Custom Subdomain

Sharing your questionnaire via a custom subdomain adds an air of professionalism to your overall data collection process. When creating your custom URL, you can include the name of your organization as a means of promoting your brand. 

Custom subdomains are simple and easy to remember too. Hosting your survey on a custom subdomain also serves as an extra layer of security; especially when you share the link via email. 

• Autoresponder Emails  

After receiving a new response to your questionnaire, you can send out an automated automatic confirmation email to the survey participant in the form of autoresponder messages. In your autoresponder email, you should include a thank you message and any links to special offers and rewards. 

• Mobile-Friendly Forms

Many people fill out surveys and questionnaires on their mobile devices and this is why all Formplus forms are mobile-friendly. Participants can complete the survey right on their mobile devices without having to bother about pinching out or zooming in on your form. Formplus forms can be viewed and filled out on any smartphone, tablet, or internet-enabled mobile device. 

In this article, we’ve looked at different survey introductions for different types of questionnaires and surveys including customer satisfaction surveys and research questionnaires. Whether you are collecting data online or offline, the right survey introduction will boost participants’ interest in completing your survey. 

With Formplus, you can add unique survey introductions to your form before sharing it with respondents. On the post-submission page, you can include a beautiful “thank you” note for respondents who complete your survey. Try out the pre and post-submission page option as well as other exciting features when you sign up for a free Formplus account. 

Connect to Formplus, Get Started Now - It's Free!

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