Questionnaires are used to collect data from people. To produce useful and reliable results, questions must be well designed, fair and free from bias. Poorly written questions can lead to misleading conclusions.

 

 

Designing Good Questionnaire Questions

A good questionnaire question should be:
• clear and easy to understand
• focused on one idea only
• suitable for the target group
• easy to answer honestly

 

Questions should use simple language and avoid technical terms unless everyone taking part will understand them.

 

Each question should collect information that is relevant to the purpose of the questionnaire.

 

 

Avoiding Ambiguous Questions

An ambiguous question is one that can be interpreted in more than one way.

 

For example, asking about something being “regular” or “often” is unclear because different people may interpret these words differently.

 

To avoid ambiguity:
• use precise language
• include clear time frames where needed
• avoid vague words

 

Clear questions produce more reliable data

 

 

Avoiding Leading Questions

A leading question encourages a particular answer.

 

For example, a question that suggests one option is better than another is unfair.

 

To avoid leading questions:
• keep the wording neutral
• do not suggest what the answer should be
• give balanced answer options

 

Leading questions introduce bias into the data.

 

 

Avoiding Biased Questions

A question is biased if it unfairly influences the responses.

 

Bias can occur if:
• one opinion is favoured
• some options are missing
• the wording makes people uncomfortable answering honestly

 

For example, questions that assume something is true may pressure respondents into agreeing.

 

Fair questions allow all reasonable responses.

 

 

Using Appropriate Answer Options

Answer choices should:
• cover all possible responses
• not overlap
• include options such as “other” or “prefer not to say” where appropriate

 

For numerical or opinion questions, scales should be balanced and clearly labelled.

 

Unbalanced scales can distort results.

 

 

Considering Fairness

A questionnaire is fair if:
• all respondents are treated equally
• questions are appropriate for everyone involved
• no group is excluded or targeted unfairly

 

Fairness also involves considering whether all respondents have the knowledge or experience needed to answer the questions.

 

 

Criticising Questionnaire Questions

When criticising a questionnaire question, consider:
• Is the question clear and unambiguous?
• Is the wording neutral?
• Are the answer options fair and complete?
• Could the question influence the response?

 

You should be able to explain why a question is flawed and how it could be improved.

 

For example, a biased or unclear question can often be rewritten to be more neutral and precise.

 

 

Key Points to Remember

Good questionnaire questions are clear and focused.
Ambiguous wording leads to unreliable data.
Leading and biased questions are unfair.
Answer options must be balanced and complete.
Fair questionnaires reduce bias and improve reliability.

 

Being able to design and criticise questionnaire questions helps ensure that data collected is meaningful, fair and suitable for drawing valid conclusions.