The Role of Questionnaires in Educational Research

When researchers want to understand what students think about their learning environment, how teachers feel about a new curriculum, or what psychological factors influence classroom behaviour, they need a reliable way to collect that data – and the questionnaire is one of the most widely used tools for exactly that. According to Simply Psychology, a questionnaire is a research instrument consisting of a series of questions designed to gather information from respondents, and it can be administered face to face, by telephone, online, or by post. In educational contexts, questionnaires serve as the backbone of data collection – helping researchers move beyond assumptions and ground their findings in real, measurable evidence.

What is a questionnaire in research? 🔗

At its core, a questionnaire is a structured set of questions distributed to a group of individuals to gather data on their opinions, behaviours, or characteristics. It functions like a written interview – systematic, standardised, and scalable. Unlike an interview, the researcher does not need to be physically present, which makes questionnaires especially practical for large-scale studies.

The SAGE Encyclopedia of Survey Research Methods describes the questionnaire as the main instrument in survey research – a set of standardised questions that follow a fixed scheme to collect individual data on one or more specific topics. The logic behind standardisation is straightforward: if the same stimulus (question) is presented to all respondents in the same way, their responses become comparable. That comparability is what makes large-scale analysis possible.

It is also worth distinguishing between a questionnaire and a survey. A survey is the broader research method – the process of collecting and analysing data. A questionnaire is the specific instrument used within that process. As Scribbr explains, designing a questionnaire means creating valid and reliable questions that address your research objectives, ordering them logically, and selecting the appropriate method of administration.

Why questionnaires matter in educational research 🔗

Education is a complex field. Teachers, students, administrators, and policymakers all bring different perspectives, and understanding those perspectives at scale requires tools that are efficient and structured. Questionnaires fit that need precisely.

Imperial College London’s research guidance notes that questionnaires are widely used and useful instruments for collecting survey information, producing structured and often numerical data that can be administered without the researcher’s presence and are comparatively straightforward to analyse. This makes them well-suited to educational settings where researchers may be working across multiple schools, districts, or even countries.

A peer-reviewed paper published on PubMed Central highlights several key advantages that explain the popularity of questionnaires in research: they are a low-cost method for the rapid collection of large amounts of data, they can be standardised, and they allow for comparison between groups and locations. In education, this means a single well-designed questionnaire can yield data from hundreds of students across different schools – data that would take weeks to gather through individual interviews.

Questionnaires are used across multiple dimensions of educational research. They can investigate:

• Academic performance factors – what study habits, motivation levels, or learning strategies students report using.
• Psychological variables – student anxiety, self-efficacy, and emotional well-being in learning environments.
• Social dynamics – peer relationships, classroom climate, and sense of belonging.
• Curriculum and teaching effectiveness – how students and teachers perceive the relevance and quality of instructional methods.

Imperial College London’s evaluation resources confirm that questionnaires can be used both qualitatively and quantitatively, and that their value depends on their ability to generate data that actually answers the research question. This is a critical point – a questionnaire is only as good as its design.

Open questionnaires vs. closed questionnaires 🔗

One of the most important decisions in designing a questionnaire is choosing between open-ended and closed-ended question formats – or determining how to combine both. Each format has distinct characteristics, advantages, and limitations, and the right choice depends on what kind of data the research needs.

Closed questionnaires 🔗

Closed-ended questions offer respondents a limited selection of answers – such as multiple choice, yes/no options, Likert scales (e.g., rating agreement on a scale of 1 to 5), or matrix questions. The defining feature is that the answer options are predetermined by the researcher.

In educational research, closed questionnaires are particularly valuable when the goal is to quantify responses and compare them statistically. According to Scribbr, well-designed closed-ended questions are easy to understand and quick to answer, making them ideal for large samples. When multiple Likert-type items are combined, they can generate interval-level data suitable for statistical hypothesis testing.

The main advantages of closed questionnaires include:

• Ease of analysis – standardised responses can be quantified, compared, and subjected to statistical tests quickly.
• Scalability – they can be distributed to large groups and completed in minutes.
• Consistency – all respondents answer the same options, reducing variability caused by interpretation.
• Inclusivity – as Sopact notes, closed-ended questions level the playing field, since respondents select from the same options regardless of writing ability, education level, or language fluency.

However, closed questionnaires have a significant limitation: they can only validate or challenge an existing framework. If the real driver behind a behaviour is a factor the researcher never thought to include as an answer option, a closed-ended questionnaire will not capture it. Respondents are constrained by the choices the researcher anticipated – which means unexpected insights are often missed entirely.

Open questionnaires 🔗

Open-ended questions allow participants to give a free-form text answer in their own words. They typically begin with phrases like “Describe…”, “What do you think about…”, or “How did you feel when…”. Unlike closed questions, they do not restrict what the respondent can say or how much detail they can provide.

In educational research, open questionnaires are especially valuable in exploratory studies – when researchers are investigating a topic they don’t yet fully understand. The Nielsen Norman Group explains that open-ended questions allow researchers to find more than they anticipated, since respondents may share motivations, concerns, and experiences the researcher never thought to ask about directly.

Open questionnaires are commonly used to:

• Capture nuanced views – such as how a student genuinely experiences a particular teaching method, beyond just rating it on a scale.
• Explore sensitive topics – where pre-set answer choices might feel reductive or inaccurate.
• Generate hypotheses – which can then be tested using closed questionnaires in later stages of research.
• Surface unexpected themes – insights that closed-ended formats would have no way to capture.

The trade-off, however, is significant. Imperial College London warns that self-completion questionnaires with open-ended items do not allow for probing follow-up questions, and respondents can vary enormously in the time they invest and the depth they write. Analysing open-ended responses also requires time, effort, and a systematic coding scheme – unlike closed responses, which can be processed rapidly.

There is also a built-in bias to be aware of: open-ended questions tend to favour articulate respondents. People with stronger writing skills produce detailed, coherent answers, while those with language barriers, learning differences, or limited time may produce fragmented responses that are harder to interpret. This can skew findings toward more educated or verbally proficient populations.

Combining both formats: the mixed approach 🔗

In practice, most effective questionnaires in educational research do not rely exclusively on one format. Research experts at Checkbox recommend a balanced approach: use closed questions to collect quantifiable data at scale, then add targeted open-ended questions to explain the numbers. For example, after asking students to rate their satisfaction with classroom instruction on a 1-5 scale, including a follow-up open question – “What is the main reason for your rating?” – adds depth that the rating alone cannot provide.

Sopact’s guidance on survey design captures the logic of this sequence clearly: the open phase reveals what matters, while the closed phase quantifies it at scale. Starting with open exploration helps researchers identify the most relevant dimensions of a topic before they commit to fixed answer choices. Once those dimensions are confirmed, closed questions can measure them reliably across large samples.

This mixed-method approach is particularly valuable in educational research, where both measurement and meaning are important. A study on student well-being, for instance, might use Likert scales to measure the frequency of stress or disengagement (closed), and open questions to understand what specific classroom experiences are driving those feelings (open). Together, the two formats produce a richer, more complete picture.

Designing an effective questionnaire for educational research 🔗

Regardless of the format used, the quality of a questionnaire depends heavily on how it is designed. The PubMed Central study on questionnaire design emphasises that it is important to remember a questionnaire only captures what the method itself allows for and what respondents are willing to provide. This means that the problem of social desirability is always present – respondents may give answers they believe are expected or socially acceptable, rather than their genuine views, particularly on sensitive topics.

Several principles support better questionnaire design in educational research:

• Clarity of language – Simply Psychology advises that questions should be simple, to the point, and appropriate to the vocabulary of the group being studied. Avoid jargon, double negatives, and leading questions.
• Logical question order – moving from general to specific questions reduces context effects and helps respondents ease into the topic.
• Pretesting – running the questionnaire with a small pilot group before full distribution helps identify unclear questions, ambiguous wording, or structural problems before they affect the actual data.
• Ethical considerations – respondents should provide informed consent, be told how their data will be used, and be assured of confidentiality. This is especially important when the questionnaire covers psychological or sensitive social topics.
• Matching format to research goal – as Imperial College London’s evaluation team notes, some researchers may find it more useful to draw on pre-existing validated scales – such as those measuring self-efficacy or academic motivation – rather than building instruments from scratch.

Questionnaires in psychological and social educational research 🔗

Beyond measuring academic outcomes, questionnaires are extensively used in educational research to study psychological and social dimensions of learning. Self-efficacy, motivation, anxiety, peer belonging, classroom climate, and teacher-student relationships are all areas where questionnaire-based data has produced important findings.

A 2025 review published in MDPI notes that questionnaires are valued for their cost-effectiveness, time efficiency, respondent anonymity, and standardisation – all features that make them particularly suitable for studying sensitive psychological topics in education. Anonymity, in particular, encourages more candid responses when students are asked about stress, mental health, social exclusion, or their perceptions of authority figures like teachers.

Questionnaires are also widely used to evaluate interventions – for example, measuring whether a new teaching strategy improved student motivation, or whether a school wellbeing programme changed students’ reported sense of belonging. In these before-and-after (pre-post) designs, the same questionnaire is administered twice, and changes in responses indicate the impact of the intervention. Imperial College London’s guidance notes that if a pre- and post-study design is used, the essential principles of experimental design must be factored into how the questionnaire is structured and administered.

When used thoughtfully, questionnaires give voice to large numbers of respondents – students, teachers, parents – who might otherwise not be heard in educational research. They transform individual opinions and experiences into aggregate data that can inform policy, improve teaching practice, and support student development across entire school systems.

What do you think? If you were designing a questionnaire to study student engagement in your classroom, would you lean more toward open or closed questions – and what would that choice reveal or miss about your students’ actual experiences? How might anonymity change the honesty of responses when students are asked about sensitive issues like stress or belonging at school?

References

1. https://www.simplypsychology.org/questionnaires.html
2. https://www.ebsco.com/research-starters/social-sciences-and-humanities/questionnaire-research-instrument
3. https://methods.sagepub.com/ency/edvol/encyclopedia-of-survey-research-methods/chpt/questionnaire
4. https://www.scribbr.com/methodology/questionnaire/
5. https://www.imperial.ac.uk/staff/educational-development/teaching-toolkit/educational-research-methods/methods/questionnaires/
6. https://pmc.ncbi.nlm.nih.gov/articles/PMC10405529/
7. https://www.imperial.ac.uk/research-and-innovation/education-research/evaluation/tools-and-resources-for-evaluation/questionnaires/types-of-questionnaires/
8. https://resources.pollfish.com/pollfish-school/open-ended-questions-vs-closed-ended-questions/
9. https://www.sopact.com/use-case/open-ended-vs-closed-ended-questions
10. https://www.nngroup.com/articles/open-ended-questions/
11. https://www.checkbox.com/blog/open-ended-questions
12. https://www.mdpi.com/2673-8392/5/2/65