QUESTIONNAIRE

Questionnaire construction

Questionnaires are frequently used in quantitative marketing research. They are a valuable method of collecting a wide range of information from a large number of respondents. Good questionnaire construction is critical to the success of a survey. Inappropriate questions, incorrect ordering of questions, incorrect scaling, or bad questionnaire format can make the survey valueless. A useful method for checking a questionnaire for problems is to pretest it. This usually involves giving it to a small sample of respondents, then interviewing the respondents to get their impressions and to confirm that the questions accurately captured their opinions.

 

 

Guidelines for Devising a Good Questionnaire

1. The wording must be kept simple: no technical or specialized words. Use short sentences. Writing style should be conversational, yet concise and accurate.

2. The meaning should be clear. Avoid ambiguous words and equivocal sentence structures. Avoid double negatives. Even single negatives should be reworded as positives.

3. Avoid biasing the responses. A biased question or questionnaire encourages respondents to answer one way rather than another. Avoid “loaded” questions.

4. Ask one question at a time. Avoid complex questions. If more than one question is hidden in a survey question, the researcher will not know which one the respondent is answering.

5. Avoid personal or intimate questions. Most people will not answer them.

6. Consider the respondent’s frame of reference. What is their background, and how will this affect their interpretation of the questions? Do respondents have enough information or expertise to answer the question?

7. Ask yourself if each question is really necessary. Unneeded questions are an expense to the researcher and an unwelcome imposition on the respondents. To answer this question, you must consider the objective(s) of the research.

8. Ask yourself what type of data analysis techniques are available for various kinds of questions. Will the question provide you with the statistical analysis that you want?

9. What type of content will responses to the question yield? Will the question responses provide facts, beliefs, feelings, descriptions of past behavior, or standards of action?

10. What type of scale, index, or typology should be used?

11. How should the questions be presented on the page (or computer screen)? How much white space? How many colours? Do you use pictures, charts, or other graphics? It should be colourful enough to gain and maintain respondent interest, but not so graphic as to distract from the of the questions.

12. Should questions be open-ended or should respondents’ answers be limited to a fixed set of responses?

13. What order should the questions be in? Is there a “natural” grouping to the questions? Will previous questions bias later questions?

14. Should the questions be numbered? Generally this is a good idea.

15. Are possible responses mutually exclusive? The respondent should not find themselves in more than one category, for example in both the “married” category and the “not living with spouse” category. Categories should not overlap.

16. Is the list of possible question responses inclusive? The respondent should not find themselves with no category that fits their situation.

17. Is the questionnaire going to be administered by research staff, or will it be self-administered by the respondents. Self administered questionnaires must give clear, detailed instructions.

Principles of Developing Questions

1. Be clear and precise.

2. Response choices should not overlap.

3. Use natural and familiar language.

4. Do not use words or phrases that show bias.

5. Avoid double-barreled questions.

6. State explicit alternatives.

7. Questions should meet criteria of validity and reliability.

 

Questionnaire Design

 

 

Types of Questions

1. Contingency questions - A question that is answered only if the respondent gives a particular response to a previous question. This avoids asking questions of people that do not apply to them (for example, asking men if they have ever been pregnant).

2. Matrix questions - Identical response categories are assigned to multiple questions. The questions are placed one under the other, forming a matrix with response categories along the top and a list of questions down the side. This is an efficient use of page space and respondents’ time.

3. Scaled questions - Responses are graded on a continuum (example : rate the appearance of the product on a scale from 1 to 10, with 10 being the most preferred appearance). Examples of types of scales include the Likert scale, semantic differential scale, and rank-order scale

4. Closed ended questions - Respondents’ answers are limited to a fixed set of responses. Most scales are closed ended. Other types of closed ended questions include:

* Dichotomous questions - The respondent answers with a “yes” or a “no”.

* Multiple choice - The respondent has several option from which to choose. 

5. Open ended questions - No options or predefined categories are suggested. The respondent supplies their own answer without being constrained by a fixed set of possible responses.

6. Completely unstructured - For example, “What is your opinion of questionnaires?”

Question Sequence 

1. Questions should flow logically from one to the next.

2. The researcher must ensure that the answer to a question is not influenced by previous questions.

3. Questions should flow from the more general to the more specific.

4. Questions should flow from the least sensitive to the most sensitive.

5. Questions should flow from factual and behavioural questions to attitudinal and opinion questions.

6. Questions should flow from unaided to aided questions 

7. According to the three stage theory (also called the sandwich theory), initial questions should be screening and rapport questions. Then in the second stage you ask all the product specific questions. In the last stage you ask demographic questions