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• Questionnaire Design | Methods, Question Types & Examples

Questionnaire Design | Methods, Question Types & Examples

Published on July 15, 2021 by Pritha Bhandari . Revised on June 22, 2023.

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, other interesting articles, frequently asked questions about questionnaire design.

A survey is a research method where you collect and analyze 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 cleansing and analysis, and interpretation.

Sampling is important in survey research because you’ll often aim to generalize 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 minimizing these will help you avoid several types of research bias , including sampling bias , ascertainment bias , and undercoverage 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 through mail. All questions are standardized 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 nonresponse 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 analyze 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 generalizable 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 scale questions collect ordinal data using rating scales with 5 or 7 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 scales , 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 for 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 summarizing responses to these questions can take a lot of time and resources. You’ll need to develop a systematic coding scheme to categorize 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 research 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 counter argument 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 favor 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-barreled questions. Double-barreled 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 organize the questions logically, with a clear progression from simple to complex. Alternatively, you can randomize the question order between respondents.

Logical flow

Using a logical flow to your question order means starting with simple questions, such as behavioral 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 minimize order effects because they can be a source of systematic error or bias in your study.

Randomization

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

When you use randomization, order effects will be minimized in your dataset. But a randomized 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.

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 operationalize your variables of interest into questionnaire items. Operationalizing 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 incentivized 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 randomize questions. Randomizing 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 .

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.

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 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.

You can organize 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. Randomization can minimize 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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Dissertation Questionnaire

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.

Questionnaire Generator

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Find out how to use a dissertation questionnaire for your masters.

Prof Martyn Denscombe, author of " The Good Research Guide, 6th edition ", gives expert advice on using a questionnaire survey for your postgraduate dissertation.

Questionnaire surveys are a well-established way of collecting data. They work with relatively small-scale research projects so design and deliver research questionnaires quickly and cheaply. When it comes to conducting research for a master’s dissertation, questionnaire surveys feature prominently as the method of choice.

Using the post for bulky and lengthy surveys is normal. Sometimes questionnaires go by hand. The popularity of questionnaire surveys is principally due to the benefits of using online web-based questionnaires. There are two main aspects to this.

Designing questionnaires

First, the software for producing and delivering web questionnaires. Simple to use features such as drop-down menus and tick-box answers, is user-friendly and inexpensive.

Second, online surveys make it possible to contact people across the globe without travelling anywhere. Given the time and resource constraints faced when producing a dissertation, makes online surveys all the more enticing. Social media such as Facebook, Instagram and WhatsApp is great for contacting people to participate in the survey.

In the context of a master’s dissertation, however, the quality of the survey data is a vital issue. The grade for the dissertation will depend on being able to defend the use of the data from the survey. This is the basis for advanced, master’s level academic enquiry.

Pro's and con's

It is not good enough to simply rely on getting 100 or so people to complete your questionnaire. Be aware of the pros and cons of questionnaire surveys. You need to justify the value of the data you have collected in the face of probing questions, such as:

• Who are the respondents and how they were selected?
• How representative are the respondents of the whole group being studied?
• What response rate was achieved by the survey?
• Are the questions suitable in relation to the topic and the particular respondents?
• What likelihood is there that respondents gave honest answers to the questions?

This is where The Good Research Guide, 6th edition becomes so valuable.

It identifies the key points that need to be addressed in order to conduct a competent questionnaire survey. It gets right to the heart of the matter, with plenty of practical guidance on how to deal with issues.

In a straightforward style, using plain language, this bestselling book covers a range of alternative strategies and methods for conducting small-scale social research projects and outlines some of the main ways in which the data can be analysed.

Read Prof Martyn Denscombe's advice on using a Case Study for your postgraduate dissertation.

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Dissertation surveys: Questions, examples, and best practices

Collect data for your dissertation with little effort and great results.

Dissertation surveys are one of the most powerful tools to get valuable insights and data for the culmination of your research. However, it’s one of the most stressful and time-consuming tasks you need to do. You want useful data from a representative sample that you can analyze and present as part of your dissertation. At SurveyPlanet, we’re committed to making it as easy and stress-free as possible to get the most out of your study.

With an intuitive and user-friendly design, our templates and premade questions can be your allies while creating a survey for your dissertation. Explore all the options we offer by simply signing up for an account—and leave the stress behind.

How to write dissertation survey questions

The first thing to do is to figure out which group of people is relevant for your study. When you know that, you’ll also be able to adjust the survey and write questions that will get the best results.

The next step is to write down the goal of your research and define it properly. Online surveys are one of the best and most inexpensive ways to reach respondents and achieve your goal.

Before writing any questions, think about how you’ll analyze the results. You don’t want to write and distribute a survey without keeping how to report your findings in mind. When your thesis questionnaire is out in the real world, it’s too late to conclude that the data you’re collecting might not be any good for assessment. Because of that, you need to create questions with analysis in mind.

You may find our five survey analysis tips for better insights helpful. We recommend reading it before analyzing your results.

Once you understand the parameters of your representative sample, goals, and analysis methodology, then it’s time to think about distribution. Survey distribution may feel like a headache, but you’ll find that many people will gladly participate.

Find communities where your targeted group hangs out and share the link to your survey with them. If you’re not sure how large your research sample should be, gauge it easily with the survey sample size calculator.

Need help with writing survey questions? Read our guide on well-written examples of good survey questions .

Dissertation survey examples

Whatever field you’re studying, we’re sure the following questions will prove useful when crafting your own.

At the beginning of every questionnaire, inform respondents of your topic and provide a consent form. After that, start with questions like:

• Please select your gender:
• What is the highest educational level you’ve completed?
• High school
• Bachelor degree
• Master’s degree
• On a scale of 1-7, how satisfied are you with your current job?
• Please rate the following statements:
• I always wait for people to text me first.
• Strongly Disagree
• Neither agree nor disagree
• Strongly agree
• My friends always complain that I never invite them anywhere.
• I prefer spending time alone.
• Rank which personality traits are most important when choosing a partner. Rank 1 - 7, where 1 is the most and 7 is the least important.
• Flexibility
• Independence
• How openly do you share feelings with your partner?
• Almost never
• Almost always
• In the last two weeks, how often did you experience headaches?

Dissertation survey best practices

There are a lot of DOs and DON’Ts you should keep in mind when conducting any survey, especially for your dissertation. To get valuable data from your targeted sample, follow these best practices:

Use the consent form.

The consent form is a must when distributing a research questionnaire. A respondent has to know how you’ll use their answers and that the survey is anonymous.

Avoid leading and double-barreled questions

Leading and double-barreled questions will produce inconclusive results—and you don’t want that. A question such as: “Do you like to watch TV and play video games?” is double-barreled because it has two variables.

On the other hand, leading questions such as “On a scale from 1-10 how would you rate the amazing experience with our customer support?” influence respondents to answer in a certain way, which produces biased results.

Use easy and straightforward language and questions

Don’t use terms and professional jargon that respondents won’t understand. Take into consideration their educational level and demographic traits and use easy-to-understand language when writing questions.

Mix close-ended and open-ended questions

Too many open-ended questions will annoy respondents. Also, analyzing the responses is harder. Use more close-ended questions for the best results and only a few open-ended ones.

Strategically use different types of responses

Likert scale, multiple-choice, and ranking are all types of responses you can use to collect data. But some response types suit some questions better. Make sure to strategically fit questions with response types.

Ensure that data privacy is a priority

Make sure to use an online survey tool that has SSL encryption and secure data processing. You don’t want to risk all your hard work going to waste because of poorly managed data security. Ensure that you only collect data that’s relevant to your dissertation survey and leave out any questions (such as name) that can identify the respondents.

Create dissertation questionnaires with SurveyPlanet

Overall, survey methodology is a great way to find research participants for your research study. You have all the tools required for creating a survey for a dissertation with SurveyPlanet—you only need to sign up . With powerful features like question branching, custom formatting, multiple languages, image choice questions, and easy export you will find everything needed to create, distribute, and analyze a dissertation survey.

Happy data gathering!

Sign up now

Free unlimited surveys, questions and responses.

What’s Included: Results Chapter Template

This template covers all the core components required in the results chapter of a typical dissertation, thesis or research project:

• The opening /overview section
• The body section for qualitative studies
• The body section for quantitative studies
• Concluding summary

The purpose of each section is explained in plain language, followed by an overview of the key elements that you need to cover. The template also includes practical examples to help you understand exactly what’s required, along with links to additional free resources (articles, videos, etc.) to help you along your research journey.

The cleanly formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

PS – if you’d like a high-level template for the entire thesis, you can we’ve got that too .

FAQ - Thesis Results Chapter

What types of dissertations/theses can this be used for.

The chapter template follows the standard format for academic research projects, which means it will be suitable for the majority of dissertations, theses and research projects (especially those within the sciences). Recommended structures are provided for both qualitative and quantitative studies.

Keep in mind that the exact requirements for the results chapter/section will vary between universities and degree programs. For example, your university may require that the results chapter and discussion chapter are merged into one (this is more common for qualitative studies). So, be sure to double-check your university’s requirements before you finalize your structure.

Is this template for an undergrad, Master or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require a lengthier write-up, but the structure will typically remain the same. Again, be sure to check your university’s requirements and norms in terms of document structure.

How long should the results chapter be?

This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate.

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, please reference this page as your source.

What format is the template (DOC, PDF, PPT, etc.)?

The thesis results chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

Can Grad Coach help me with my results and/or analysis?

Yes, we can provide coaching-based assistance with your qualitative, quantitative or mixed-method analysis. Get in touch to discuss our private coaching services .

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National Research Council (US) Committee to Examine the Methodology for the Assessment of Research-Doctorate Programs; Ostriker JP, Kuh CV, editors. Assessing Research-Doctorate Programs: A Methodology Study. Washington (DC): National Academies Press (US); 2003.

Assessing Research-Doctorate Programs: A Methodology Study.

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D Sample Questionnaires

(These questionnaires are subject to further review and revision.)

• Institutional Questionnaire
• Program Questionnaire
• Faculty Questionnaire
• Questionnaire for Admitted-to-Candidacy Doctoral Students
• Questionnaire for Program Graduates

To the institutional coordinator: This questionnaire is intended to collect data about university-provided resources that are available to all doctoral programs. Typically, the ideal respondent will be in the university's office of institutional research. Most of the questions apply to all programs. One, on laboratory space, applies only to the sciences (including some social sciences). In listing programs, please refer to the attached taxonomy and answer for those programs that are present at your institution.

1. For the libraries at your institution: (Please enter the average over the past three years)

a. What is the average size of your professional library staff in total FTEs?______

b. What is the average annual library budget?______

c. What is the average annual budget for acquisition of books?______

d. What is the average annual budget for acquisition of:

print journals______electronic journals______?

e. What is the average annual budget for microprint and electronic databases?______

2. Is health care insurance available to graduate students under an institutional plan?

a. If available, health care insurance is made available to:

❏ Students only ❏ Students and faculty

b. If available, what is the level of institutional support? (Check all that apply)

Institution covers premium costs for:

❏ Teaching assistants ❏ Research assistants

❏ All other full-time graduate students ❏ All graduate students

Institution covers partial premium costs for:

No institutional contribution for:

❏ Teaching assistants ❏ Research assistants ❏ Other graduate students

3. Does the university provide childcare facilities that are available to graduate students?

❏ Yes ❏ No

a. If yes, is the cost subsidized by the institution?

b. If not, does the institution provide a listing of childcare providers to graduate students?

4. Is university-subsidized student housing available to doctoral students?

If so, what is the percentage of the doctoral students who live in university-provided housing? _______

5. Are graduate students are unionized on your campus?

If yes, ❏ Some students ❏ All students

If yes, are teaching assistants unionized? ❏ Yes ❏ No

If yes, ❏ Some teaching assistants ❏ All teaching assistants

If yes, are research assistants unionized? ❏ Yes ❏ No

If yes, ❏ Some research assistants ❏ All research assistants?

6. Which of the following apply to the doctoral program at the institutional level?

a. The institution confers awards to honor graduate students for teaching and/or research.

b. Awards are given to faculty for mentoring or other activities that promote scholarship of doctoral students.

c. The institution provides some form of travel support for doctoral students to attend professional meetings.

d. There is an organized program at the institutional level to help doctoral students improve their teaching skills.

e. The institution provides an office that assists doctoral students in learning about employment opportunities. ❏ Yes ❏ No

7. For the information displayed in the following table, please provide in a file sent by email to ude.san@tolipdr

For the each doctoral program in science (including the social sciences) and engineering at your institution, what is the net assignable square feet (NASF) of research space dedicated to the program (exclude space that is used only for undergraduates)? Please use the same definitions for NASF and research space that are used in the NSF Survey of Scientific and Engineering Research Facilities. See [Taxonomy] for a list of the program fields in the study, and provide the information in the Email file for only those doctoral programs that are offered at your institution.

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Background Information

This information will enable the National Research Council to contact you if there are any questions about the data. It will also permit us to contact faculty for the purpose of administering a questionnaire to elicit reputational ratings and background data and to contact students to obtain information about their perceptions of the practices and offerings of the doctoral program.

Please note that in addition to the web questionnaire, we would like lists of faculty and previous employers to be sent to us via e-mail.

Please indicate the doctoral program to which the following information applies

________________________________________

1. Please provide the name and e-mail address of the program respondent who will serve as the primary contact with the graduate program.

Name:_____________________________________________

Title:______________________________________________

E-mail address:______________________________________

Mailing Address:_____________________________________

__________________________________________________

City______________________State_______Zip Code_______

If this is an interdisciplinary program, please list the departments affiliated with the program.

___________________________________________________

For each individual identified in questions 2 and 3, please provide in a file sent by email to ude.san@tolipdr the information displayed in the table for the question.

2. Program Faculty: For each faculty member or senior research fellow or associate who participates in your doctoral program by directing theses, serving on doctoral committees, or teaching graduate courses, please provide the following information.

3. Faculty Employment History: For each faculty member listed in Question 2 who joined your program within the past five years, please provide the institution, company, or organization where he or she was employed immediately before joining your institution.

4. For the doctoral students in your program, please provide the number of students that fall into each of the following categories.

a. Total number of students:______

b. Status: Full-time______ Part-time______ Unknown______

c. Gender: Male______ Female______ Unknown______

d. Race/Ethnicity (if U.S. citizen or Permanent Residents)

e. Percentage of doctoral students with master's degree

Program Information

5. Does your program have a mission statement?

❏ Yes No ❏

If so, what is the mission statement? (50 words or less)

_______________________________________________

If there are particular areas of research emphasis in your doctoral from the subfields in [Taxonomy]:

______________________ _______________________

6. How many Ph.D.s have been awarded in the program in each of the past five years? (Note: Years span from July 1 to June 30)

2001–02 ____ 2000–01_____ 1999–00_____ 1998–99_____ 1997–98_____

7. For each of the academic years listed in the following table, enter the number of students who entered the program in the year and the number who completed their degrees in 4, 6, or 8, years or are still in the program. (Note: Years span from July 1 to June 30)

7a. Averaged over the past three years, what percent of entering students withdrew from the program before completing two years of study? ______%

7b. Averaged over the past three years, what has been the median time to degree for those who completed the program?_____(Note: the median time is the number of years it takes half of the number of students from the same entering year who are admitted to candidacy to complete their degree.)

8. Is a master's degree required of students prior to admission to your program?

9. What proportion of your full-time first-year doctoral students receive full support throughout their first year (tuition and an adequate living allowance provided as stipend or salary in program related work (TA or RA)? ________

10. How many years of full financial support could students entering your doctoral program expect to receive from your institution or an external source? _________

11. Over the past five years approximately what fraction of the first-year students in your program received financial support either from your institution or from extramural grants or fellowships?

Tuition only _____

Tuition and stipend _____

Stipend only __________

12. What proportion of currently enrolled doctoral students in your program (included in multiple categories if appropriate) are currently supported by:

13. Averaged over the past three years, what are the average and minimum GRE scores for students accepted into the program?

Do you require GRE subject scores for all students entering the program?

14. In each of the last three academic years, how many students did you accept into your doctoral program, and how many enrolled?

15. What percentage of the doctoral students in your program have individually assigned workspaces for their exclusive use?

TAs _____RAs _____ All students _____

16. On average, how many courses per term is each graduate teaching assistant in the program expected to teach or assist a faculty member in teaching?

With sole responsibility ____ As an Assistant to a faculty member ____

17. Which of the following apply to your doctoral program?

a. The program confers awards to honor graduate students for teaching and/or research.

❏Yes ❏ No

c. The program provides some form of travel support for doctoral students to attend professional meetings.

d. There is an organized program to help doctoral students improve their teaching skills.

e. The program provides organized assistance to help doctoral students explore employment opportunities.

18. List up to 5 institutions with which your program normally competes for graduate students:

Institution #1________________________________________

Institution #2________________________________________

Institution #3________________________________________

Institution #4________________________________________

Institution #5________________________________________

19. Does your program collect data about employment outcomes for your graduates?

If yes, do you provide potential applicants with this information?

20. Please list those interdisciplinary centers in which doctoral students from your program participate (conduct research or teach).

_______________________

This questionnaire is part of the National Research Council's Pilot Test of the Assessment of Research Doctoral Programs. Your university has volunteered to participate in this pilot test to assist the National Research Council's study of the methodology used to assess doctoral programs. Further information about the methodology study may be found at www7.nationalacademies.org/resdoc/index.html

You have been selected to receive this questionnaire because you are a member of the faculty who participates in the education of doctoral students at your university. This means that you either teach courses to doctoral students or supervise their dissertations. If this is not the case, please indicate that in question 1.

The assessment of research doctoral programs is conducted approximately every ten years and consists of a reputational survey of doctoral programs and the collection of data about doctoral faculty and students in fifty-seven areas of study. This questionnaire provides information that will assist the study in a number of ways: 1)it will help us construct a pool from which to select raters for the reputational survey; 2)it will provide us enough information about you that we can collect data on grants, citations, and publications from other sources; and 3)it will permit a statistical description of the faculty in the graduate program or programs with which you are affiliated. Your answers will be treated as completely confidential by the National Research Council and will only be released as part of a statistical analysis.

I. Program Identification

a. Do you supervise dissertations, serve on doctoral committees, or teach graduate courses in a doctoral program?

If your answer was “No”, you do not need to complete the rest of the questionnaire.

b. From the pulldown list, please choose the program of your primary affiliation/appointment

___________________________[Pull Down List of Res-Doc Programs]

If you have difficulty locating your program on the list, please refer to the [Taxonomy] list with fields and subfields

c. Please list all programs in which you supervise dissertations, serve on dissertation committees, or teach graduate courses and the average percentage of your time during the past year that you spent in all activities for each program with which you are associated. (Do not list programs where you are an outside reader.)

d. For the articles and books that you have published in the past five years, please list what fields you have published in Table 1 . If you have a single publication that spans multiple fields, please indicate them and their fields in Table 2 .

Table 1 Books and articles in a single field published in the past 3 years

Table 2 books and articles in multiple fields published in the past 3 years.

II. Current Employment

a. Department affiliation:_________________

d. Year first employed at current institution: [If employment was not continuous, please list year of most recent appointment at this institution.] __________________

e. Have you received an extramural grant or contract support in the past year?

f. Subfields of current research interest (refer to [Taxonomy] with subfields):

Subfield # 1: _________________

Subfield #2: __________________

Subfield #3: __________________

g. Do you consider part of your research to be interdisciplinary? ❏ Yes ❏ No If so, what is the area of that research? _____________________

h. Under what names or variants of your name have you published books or articles?

____________________________________________

III. Prior Experience

What was your status prior to your current position?

❏ Student ❏ Postdoc ❏ Faculty. ❏ Other:________________

Previous employer:_______________________________

Address: ______________________________________

City_____________________State/Country_______Zip Code______

Title: __________________________________________________

Employment Sector:

❏ Industry (for profit)

❏ National laboratory

❏ State or local government

❏ Federal government agency

❏ International agency

❏ 4-year college or university

❏ 2-year college

❏ K-12 school

❏ Hospital or clinic

❏ Foundation or nonprofit

❏ Military

❏ Other (specify: __________)

IV. Educational Background

b. Institution that conferred highest degree:

_________________________________________

c. Field of highest degree:

_________________________________[Pulldown List]

Other: ____________________________

d. Year of highest degree:

e. To what extent does the field of your current research, teaching, or professional activities differ from the field of your highest degree?

❏ Very similar ❏ Somewhat similar ❏ Very different

V. Demographic Information

a. Date of birth: __________(mm/dd/yy)

VI. Please provide your preferred e-mail address (where you can be reached if there are questions.)

________________________________________________

Thank you for your time.

This questionnaire is part of the National Research Council's Pilot Test of the Assessment of Research Doctoral Programs. Your university has volunteered to participate in this pilot test to assist the National Research Council's study of the methodology used to assess doctoral programs. One innovation we are considering is adding student responses about the educational processes of the program. We believe that students' input is important to improving the quality of the educational experience. Further information about the methodology study may be found at www7.nationalacademies.org/resdoc/index.html

You have been selected to receive this questionnaire because you are a student who has completed over half of your doctoral program. If this is not the case, please indicate that in question 1.

The assessment of research doctoral programs is conducted approximately every ten years and consists of a reputational survey of doctoral programs and the collection of data about doctoral faculty and students in fifty-four areas of study. This questionnaire will provide information that will assist the study in a number of ways: 1) it will provide a statistical description of students in your program; 2) it will provide information about practices in your program; and 3) it will help future students in the selection of graduate programs.

Your answers will be treated as completely confidential by the National Research Council and will only be released as part of a statistical analysis. Individual answers will not be shared with faculty or administrators of your doctoral program except in aggregated form.

Institution: _______________________________________________

Doctoral Program: _________________________________________

1. Educational Program

A. Year of enrollment in this doctoral program:_________

B. Year you expect to receive your doctorate:__________

C. Did you (or will you) receive a master's degree before this doctorate? ❏ Yes ❏ No

D. Did you (or will you) receive a master's degree in your doctoral field as part of your training?

⇍ Yes ⇍ No

If yes, did you write a master's thesis? ❏ Yes ❏ No

E. During the course of your study for the Ph.D. will you also receive any of the following as part of a joint, concurrent, or combined degree program:

Professional doctorate (e.g., MD, DOS, OD, JD)? ❏ Yes ❏ No

Professional master's (e.g., MBA, MPA, MPH)? ❏ Yes ❏ No

F. During the course of your study for the Ph.D. will you also receive a certificate in another field?

G. What were your career goals at the time you entered graduate school? [check all that apply]

U.S. Employment:

❏ Industry ❏ Government ❏ Nonprofit ❏ University

❏ 2-yr. college ❏ 4-yr. college Other: ______________

Non-U.S. Employment:

❏ 2-yr. college ❏ 4-yr. college Other: _______________

❏ Unknown

H. What are your current career plans? [check all that apply]

I. Of the following sources of support, which have been your primary sources during your doctoral studies? (Check the three largest)

2. Program Characteristics

A. Professional Development

1. During your doctoral program have you received (or will you receive) instruction, practice or professional development training in:

2. In your doctoral program did you have an opportunity to obtain teaching experience? Check the type(s) of teaching experience you have had:

If you have had teaching experience, please answer the following,

B. Program Environment

1. Does your program provide an annual or more frequent assessment of your progress?

2. Do you receive timely feedback on your research?

3. Do you have access to career advice covering a variety of employment sectors?

a. If yes, are you encouraged to use it? ❏ Yes ❏ No

4. Do you have one or more faculty members at your institution that you consider mentors (i.e., individuals from whom you seek advice about your education, career development, and other matters of concern to you as a graduate student)?

5. How would you rate the quality of teaching by faculty in your program?

❏ Excellent ❏ Good ❏ Fair ❏ Poor

6. How would you rate the quality of your research experience?

7. How would you rate the curriculum of your Ph.D. program?

8. How would you rate the overall quality of your program?

9. How would you rate the intellectual liveliness of your program?

10. Considering the overall intellectual environment of your university, how much do you feel you have benefited from it?

❏ A lot ❏ Some ❏ A little ❏ Not at all

C. Infrastructure

1. Does your program give you access to:

2. Does your program provide adequate space for interaction among students?

3. Are the library resources available to you adequate to support your research and education? ❏ Yes ❏ No

D. Research productivity

1. How many research presentations (including poster presentations) have you made at research conferences

2. How many research publications have you authored or co-authored during your doctoral studies (include pieces accepted for publication but not yet published)?

3. Background Information

E. Dependent care responsibilities:

1. Number of children living with you:

Age 6 or under ______ Over age 6 _______

3. Parents or other dependents

G. Marital Status:

Do you have a spouse or partner who lives with you?

• Five-Seven Years Post-Ph.D Questionnaire

This questionnaire is part of the National Research Council's Pilot Test of the Assessment of Research Doctoral Programs. Your university has volunteered to participate in this pilot test to assist the National Research Council's study of the methodology used to assess doctoral programs. One innovation that we are considering is to add student responses to questions about the educational process of the program. Further information about the methodology study may be found at www7.nationalacademies.org/resdoc/index.html

You have been selected to receive this questionnaire because you are a student who has received a Ph.D. from this program five to seven years ago. If this is not the case, please indicate that in question 1.

The assessment of research doctoral programs is conducted approximately every ten years and consists of a reputational survey of doctoral programs and the collection of data about doctoral faculty and students in fifty-four areas of study. This questionnaire provides information that will assist the study in a number of ways: 1) it will help us learn whether a high enough percentage of students respond so that we can add student observations to the larger study; 2) it will provide us enough information about practices in your program that we can compare the practices of graduate programs in your field at different universities; and 3) it will permit a statistical description of the first-year students in the graduate program. Your answers will be treated as completely confidential by the National Research Council and will only be released as part of a statistical analysis. Individual answers will not be shared with faculty or administrators of your former doctoral program except in aggregated form.

a. Name of the program where you received your Ph.D. degree:

__________________________________________

b. Year of enrollment in the above Ph.D. program:___________

c. Year you received your Ph.D.: _________

d. Did you receive a master's degree at this institution before this Ph.D.? ❏ Yes ❏ No

e. Were you enrolled as a full-time student throughout your Ph.D. program? ❏ Yes ❏ No

f. Did you attend graduate school prior to enrollment in the above Ph.D. program?

If so, what degrees or certificates, if any, do you hold?

❏ Certificate ❏ Master's ❏ Doctoral ❏ Professional

g. What was your career goal when you completed your Ph.D.?

h. Have your career goals changed since you received your Ph.D.? ❏ Yes ❏ No

i. During your Ph.D. program, were you supported by funds from outside the institution? ❏ Yes ❏ No

(Check all that apply)

Type: ❏ Fellowship ❏ Training Grant ❏ Research Grant

❏ Your employer ❏ Other(Specify:_________)

j. Did you receive institutional support?

Type: ❏ Teaching Assistantship ❏ Research Assistantship ❏ Fellowship

❏ Tuition scholarship or waiver only ❏ Loan ❏ None ❏ Other(Specify:_)

2. Employment and Career Status

a. First employer or place of postdoctoral study after Ph.D. completion:

Name: __________________________________________

Address: ________________________________________

City___________________State/Country_______Zip Code______

Title: _________________________________________________

b. Employment Sector:

❏ University

❏ 4-year college

❏ Other (specify)

c. If you hold or have held a postdoctoral position or positions, how many_______, and at what institutions, companies or government agencies were they located? List chronologically starting with the most recent.

d. Current employer:

Name: __________________________________________________

Address:_________________________________________________

City______________State/Country__________Zip Code____________

Title:_____________________________________________________

e. Current Employment Sector:

3. Ph.D. Program Characteristics

a. During your Ph.D. education, in which of the following areas was training PROVIDED, which skills or experiences have you USED since graduation, and which area do you wish you had learned MORE about? (check all that apply)

1) Teaching experiemce ❏ Provided ❏ Used ❏ More

2) Oral communication; presentation skills ❏ Provided ❏ Used ❏ More

3) Writing proposals for funding ❏ Provided ❏ Used ❏ More

4) Manuscript preparation ❏ Provided ❏ Used ❏ More

5) Experience working in collaborative groups ❏ Provided ❏ Used ❏ More

6) Critical analysis ❏ Provided ❏ Used ❏ More

7) Locating and applying information ❏ Provided ❏ Used ❏ More

8) Experience working with people of varied educational levels ❏ Provided ❏ Used ❏ More

9) Experience working with people from diverse backgrounds ❏ Provided ❏ Used ❏ More

10) Experience working in teams ❏ Provided ❏ Used ❏ More

b. Research Productivity

1) How many books or edited books have you published or are currently accepted for publication? ___

2) How many articles or book chapters have you published or are currently accepted for publication? ___

3) How many books or articles have you reviewed for publication? ______

4) How many reviews, enumerated in 3), have been or will be published?

5) How many refereed papers have you or a coauthor presented at professional conferences? ___

6) How many awards have you received? (Respond to all categories.)

a) For teaching: _______

b) For research: _______

c) From professional societies: _______

d) From your institution or employer:________

7) How many patents or licenses have you received? ________

8) How many grants have you received from your employer or institution? _____

9) How many grants have you received from extramural funding agencies? _____

4. Background Information

d. Race/Ethnicity (if U.S. citizen)

❏ American Indian or Alaskan Native

❏ Asian

❏ Pacific Islander

❏ Black

❏ White

❏ Hispanic (❏ Mexican American, ❏ Puerto Rican, ❏ Other)

❏ Multiracial

f. Number of Children: Age 6 and unde r______ Over age 6

h. Is English your first language? Yes ❏ No ❏

• Cite this Page National Research Council (US) Committee to Examine the Methodology for the Assessment of Research-Doctorate Programs; Ostriker JP, Kuh CV, editors. Assessing Research-Doctorate Programs: A Methodology Study. Washington (DC): National Academies Press (US); 2003. D, Sample Questionnaires.
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Harvard University Program on Survey Research

• Questionnaire Design Tip Sheet

This PSR Tip Sheet provides some basic tips about how to write good survey questions and design a good survey questionnaire.

PSR Resources

• Managing and Manipulating Survey Data: A Beginners Guide
• Finding and Hiring Survey Contractors
• How to Frame and Explain the Survey Data Used in a Thesis
• Overview of Cognitive Testing and Questionnaire Evaluation
• Sampling, Coverage, and Nonresponse Tip Sheet
• Introduction to Surveys for Honors Thesis Writers
• PSR Introduction to the Survey Process
• Related Centers/Programs at Harvard
• General Survey Reference
• Institutional Review Boards
• Select Funding Opportunities
• Survey Analysis Software
• Professional Standards
• Professional Organizations
• Major Public Polls
• Survey Data Collections
• Major Longitudinal Surveys
• Other Links

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• Studying a Postgraduate degree

Using a questionnaire survey for your dissertation

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Think Postgrad

Find out how to use a dissertation questionnaire for your masters.

Prof Martyn Denscombe, author of " The Good Research Guide, 6th edition ", gives expert advice on using a questionnaire survey for your postgraduate dissertation.

Questionnaire surveys are a well-established way of collecting data. They work with relatively small-scale research projects so design and deliver research questionnaires quickly and cheaply. When it comes to conducting research for a master’s dissertation, questionnaire surveys feature prominently as the method of choice.

Using the post for bulky and lengthy surveys is normal. Sometimes questionnaires go by hand. The popularity of questionnaire surveys is principally due to the benefits of using online web-based questionnaires. There are two main aspects to this.

Designing questionnaires

First, the software for producing and delivering web questionnaires. Simple to use features such as drop-down menus and tick-box answers, is user-friendly and inexpensive.

Second, online surveys make it possible to contact people across the globe without travelling anywhere. Given the time and resource constraints faced when producing a dissertation, makes online surveys all the more enticing. Social media such as Facebook, Instagram and WhatsApp is great for contacting people to participate in the survey.

In the context of a master’s dissertation, however, the quality of the survey data is a vital issue. The grade for the dissertation will depend on being able to defend the use of the data from the survey. This is the basis for advanced, master’s level academic enquiry.

Pro's and con's

It is not good enough to simply rely on getting 100 or so people to complete your questionnaire. Be aware of the pros and cons of questionnaire surveys. You need to justify the value of the data you have collected in the face of probing questions, such as:

• Who are the respondents and how they were selected?
• How representative are the respondents of the whole group being studied?
• What response rate was achieved by the survey?
• Are the questions suitable in relation to the topic and the particular respondents?
• What likelihood is there that respondents gave honest answers to the questions?

This is where The Good Research Guide, 6th edition becomes so valuable.

It identifies the key points that need to be addressed in order to conduct a competent questionnaire survey. It gets right to the heart of the matter, with plenty of practical guidance on how to deal with issues.

In a straightforward style, using plain language, this bestselling book covers a range of alternative strategies and methods for conducting small-scale social research projects and outlines some of the main ways in which the data can be analysed.

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• Questionnaire Design | Methods, Question Types & Examples

Questionnaire Design | Methods, Question Types & Examples

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

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

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

Table of contents

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

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

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

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

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

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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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21 Questionnaire Templates: Examples and Samples

Questionnaire: Definition

A questionnaire is defined a market research instrument that consists of questions or prompts to elicit and collect responses from a sample of respondents. A questionnaire is typically a mix of open-ended questions and close-ended questions ; the latter allowing for respondents to enlist their views in detail.

A questionnaire can be used in both, qualitative market research as well as quantitative market research with the use of different types of questions .

LEARN ABOUT: Open-Ended Questions

Types of Questionnaires

We have learnt that a questionnaire could either be structured or free-flow. To explain this better:

• Structured Questionnaires: A structured questionnaires helps collect quantitative data . In this case, the questionnaire is designed in a way that it collects very specific type of information. It can be used to initiate a formal enquiry on collect data to prove or disprove a prior hypothesis.
• Unstructured Questionnaires: An unstructured questionnaire collects qualitative data . The questionnaire in this case has a basic structure and some branching questions but nothing that limits the responses of a respondent. The questions are more open-ended.

LEARN ABOUT:   Structured Question

Types of Questions used in a Questionnaire

A questionnaire can consist of many types of questions . Some of the commonly and widely used question types though, are:

• Open-Ended Questions: One of the commonly used question type in questionnaire is an open-ended question . These questions help collect in-depth data from a respondent as there is a huge scope to respond in detail.
• Dichotomous Questions: The dichotomous question is a “yes/no” close-ended question . This question is generally used in case of the need of basic validation. It is the easiest question type in a questionnaire.
• Multiple-Choice Questions: An easy to administer and respond to, question type in a questionnaire is the multiple-choice question . These questions are close-ended questions with either a single select multiple choice question or a multiple select multiple choice question. Each multiple choice question consists of an incomplete stem (question), right answer or answers, close alternatives, distractors and incorrect answers. Depending on the objective of the research, a mix of the above option types can be used.
• Net Promoter Score (NPS) Question: Another commonly used question type in a questionnaire is the Net Promoter Score (NPS) Question where one single question collects data on the referencability of the research topic in question.
• Scaling Questions: Scaling questions are widely used in a questionnaire as they make responding to the questionnaire, very easy. These questions are based on the principles of the 4 measurement scales – nominal, ordinal, interval and ratio .

Questionnaires help enterprises collect valuable data to help them make well-informed business decisions. There are powerful tools available in the market that allows using multiple question types, ready to use survey format templates, robust analytics, and many more features to conduct comprehensive market research.

LEARN ABOUT: course evaluation survey examples

For example, an enterprise wants to conduct market research to understand what pricing would be best for their new product to capture a higher market share. In such a case, a questionnaire for competitor analysis can be sent to the targeted audience using a powerful market research survey software which can help the enterprise conduct 360 market research that will enable them to make strategic business decisions.

Now that we have learned what a questionnaire is and its use in market research , some examples and samples of widely used questionnaire templates on the QuestionPro platform are as below:

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Customer Questionnaire Templates: Examples and Samples

QuestionPro specializes in end-to-end Customer Questionnaire Templates that can be used to evaluate a customer journey right from indulging with a brand to the continued use and referenceability of the brand. These templates form excellent samples to form your own questionnaire and begin testing your customer satisfaction and experience based on customer feedback.

LEARN ABOUT: Structured Questionnaire

USE THIS FREE TEMPLATE

Employee & Human Resource (HR) Questionnaire Templates: Examples and Samples

QuestionPro has built a huge repository of employee questionnaires and HR questionnaires that can be readily deployed to collect feedback from the workforce on an organization on multiple parameters like employee satisfaction, benefits evaluation, manager evaluation , exit formalities etc. These templates provide a holistic overview of collecting actionable data from employees.

Community Questionnaire Templates: Examples and Samples

The QuestionPro repository of community questionnaires helps collect varied data on all community aspects. This template library includes popular questionnaires such as community service, demographic questionnaires, psychographic questionnaires, personal questionnaires and much more.

Academic Evaluation Questionnaire Templates: Examples and Samples

Another vastly used section of QuestionPro questionnaire templates are the academic evaluation questionnaires . These questionnaires are crafted to collect in-depth data about academic institutions and the quality of teaching provided, extra-curricular activities etc and also feedback about other educational activities.

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