Classification data

This is the data required to classify the respondent, and is often used as the basis for analysis of the subject data sought in the body of the questionnaire. It includes data such as age, gender, occupation of the head of household, income group, marital status and other data thought to be relevant, which helps to define the individual for the purposes of analysing responses. In a personal interview this information can be left until the end if the respondent has been selected on a random sampling basis, but if the interviewer must select the respondent for a quota sample, then it is necessary to ask some of the classification questions at the outset. Classification data is also used in checking the representativeness of the sample. A typical identification and classification page from a questionnaire is shown in Figure 8.1.

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