Objectives- a good questionnaire must be based on a set of objectives of what the researcher wants to know. When a questionnaire relates back to a set of objectives, it establishes a framework that keeps the questions focused on the specific issue.
Directions-Questionnaires should contain directions to the respondents, so that people who take the questionnaire understand what to do and how their answers are scored. Here it should also be included in the questionnaire that the answer and names of respondents are confidential.
Measurability- A good questionnaire means that the questions are formatted in such a way that the answers are measurable. The answers must be easily calculated to provide the researchers with information they need. The questions must have short answers for example answers like yes or no, Use selections such as "2-3 times per week," "never" and "within the past 6 months,"
Such answers are much more measurable.
Question sequence- for a questionnaire to be good it must have questions that flow in a logical order to avoid confusion. Questionnaires should start off with some simple or generic questions that give respondents time to warm up and feel comfortable answering. Questions of a more sensitive nature should be positioned in the middle and end of the survey
Technicalities-Certain technicalities come into play when developing good questionnaires. One of the things to keep in mind is that you should avoid using industry jargon or slang. When writing your questions, assume that the respondents have limited knowledge about the issue being asked. In addition, think about the population of people who will be taking your questionnaire, and how that impacts the design and layout of your survey tool. For instance, if you are providing the questionnaire to people who are between the ages of 75 and 100 years old, you might print the survey in large, bold font to make it easy to read.
Ambiguous- the questionnaire must contain question that are easy to interpret. These questions should not leave room for being misinterpreted because since the survey outcome will depend on the answer that were given in case questions are misinterpreted the survey will not be totally accurate.
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