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Data Preparation and Description


After reading this chapter, you should understand . . .
  1. The importance of editing the collected raw data to detect errors and omissions.
  2. How coding is used to assign numbers and other symbols to answers and to categorize responses.
  3. The use of content analysis to interpret and summarize open questions.
  4. Problems with and solutions for "don't know" responses and missing data.
  5. The options for data entry and manipulation.










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