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Overview Knowledge and misconception questions often ask a respondent whether, or how much, they agree or disagree with specific facts or common misconceptions about prevention, transmission, treatment, and symptoms of HIV/AIDS. Other investigations into this topic probe awareness—or ask if people have “heard of” or “know” certain facts. Sometimes knowledge and misconception questions can be easily converted to attitude questions by adding a statement such as “Do you think that…” or “Is it acceptable…” to the fact or misconception.
There are different ways questions about knowledge and misconceptions may be asked. One kind of question may have more than one possible answer (“What are some of the symptoms of AIDS?”). Answers to such questions with potential multiple responses may be recorded in an open-ended format, but will require more coding and cleaning—making the data potentially more difficult to analyze. A better method is to do preliminary research and pretest the questionnaire, and then print answer options on the instrument—the interviewer can then probe the respondent and “tick” off the answers given. This is more preferable in some cases than simply “reading out” the answer options, as this may “feed” answers that the respondent would not have given on his/her own. Other common questions simply ask for a “yes/no” answer—“Does HIV cause AIDS?” In many cases, adding “Don’t know” as an answer option is also necessary. It is also helpful to mix/reverse how questions are asked so that “yes/no” or “true/false” questions do not always follow the same pattern—for instance, you will sometimes want to ask a question testing agreement with a true assertion followed with a question making a false statement. This also applies to “agree/disagree” questions. If there is a pattern in the questioning, the respondent may soon figure this out and pattern their responses accordingly. If this is done, however, analysis of the data should take this into consideration, and recode if necessary—especially for more scientific procedures such as factor analysis. Another important point is to make sure similar questions within or among questionnaires in the same study are similarly structured. Questions should ask for information in the same consistent manner, otherwise comparison may be inaccurate or invalid. This point should also be remembered if the data is to be compared to results from other surveys or outside sources. Examples of questions relating to knowledge and misconceptions have been selected from the questionnaires below:
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