Questionnaire Construction - Questionnaire Construction Issues

Questionnaire Construction Issues

  • Know how (and whether) you will use the results of your research before you start. If, for example, the results won't influence your decision or you can't afford to implement the findings or the cost of the research outweighs its usefulness, then save your time and money; don't bother doing the research.
  • The research objectives and frame of reference should be defined beforehand, including the questionnaire's context of time, budget, manpower, intrusion and privacy.
  • How (randomly or not) and from where (your sampling frame) you select the respondents will determine whether you will be able to generalize your findings to the larger population.
  • The nature of the expected responses should be defined and retained for interpretation of the responses, be it preferences (of products or services), facts, beliefs, feelings, descriptions of past behavior, or standards of action.
  • Unneeded questions are an expense to the researcher and an unwelcome imposition on the respondents. All questions should contribute to the objective(s) of the research.
  • If you "research backwards" and determine what you want to say in the report (i.e., Package A is more/less preferred by X% of the sample vs. Package B, and y% compared to Package C) then even though you don't know the exact answers yet, you will be certain to ask all the questions you need - and only the ones you need - in such a way (metrics) to write your report.
  • The topics should fit the respondents’ frame of reference. Their background may affect their interpretation of the questions. Respondents should have enough information or expertise to answer the questions truthfully.
  • The type of scale, index, or typology to be used shall be determined.
  • The level of measurement you use will determine what you can do with and conclude from the data. If the response option is yes/no then you will only know how many or what percent of your sample answered yes/no. You cannot, however, conclude what the average respondent answered.
  • The types of questions (closed, multiple-choice, open) should fit the statistical data analysis techniques available and your goals.
  • Questions and prepared responses to choose from should be neutral as to intended outcome. A biased question or questionnaire encourages respondents to answer one way rather than another. Even questions without bias may leave respondents with expectations.
  • The order or "natural" grouping of questions is often relevant. Prior previous questions may bias later questions.
  • The wording should be kept simple: no technical or specialized words.
  • The meaning should be clear. Ambiguous words, equivocal sentence structures and negatives may cause misunderstanding, possibly invalidating questionnaire results. Double negatives should be reworded as positives.
  • If a survey question actually contains more than one issue, the researcher will not know which one the respondent is answering. Care should be taken to ask one question at a time.
  • The list of possible responses should be collectively exhaustive. Respondents should not find themselves with no category that fits their situation. One solution is to use a final category for "other ________".
  • The possible responses should also be mutually exclusive. Categories should not overlap. Respondents should not find themselves in more than one category, for example in both the "married" category and the "single" category - there may be need for separate questions on marital status and living situation.
  • Writing style should be conversational, yet concise and accurate and appropriate to the target audience.
  • Many people will not answer personal or intimate questions. For this reason, questions about age, income, marital status, etc. are generally placed at the end of the survey. This way, even if the respondent refuses to answer these "personal" questions, he/she will have already answered the research questions.
  • "Loaded" questions evoke emotional responses and may skew results.
  • Presentation of the questions on the page (or computer screen) and use of white space, colors, pictures, charts, or other graphics may affect respondent's interest or distract from the questions.
  • Numbering of questions may be helpful.
  • Questionnaires can be administered by research staff, by volunteers or self-administered by the respondents. Clear, detailed instructions are needed in either case, matching the needs of each audience.

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