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Choice of Group and Data Collection

After the questionnaire is ready, identification of the group for data collection should be done precisely. In case of discrepancies in the choice of group, the analysis on the whole may turn out to be faulty. For example, if you choose to study the problems faced by working mothers. The questionnaires should not be filled up by housewives or by men.

While collecting data, it should be borne in mind that all individual data sets are important and each candidate should answer the questions independently. There should be no bias in the selection of the group. Every member of the population under study should have an equal probability of appearing in the sample

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