1. Data Preparation and Description
Chapter 15
Data Preparation
and
Description
This chapter presents the steps necessary to prepare data for data analysis.

2. Learning Objectives Understand . . .
The importance of editing the collected raw data to detect errors and omissions.
How coding is used to assign number and other symbols to answers and to categorize responses.
The use of content analysis to interpret and summarize open questions.

3. Learning Objectives Understand . . .
Problems with and solutions for “don’t know” responses and handling missing data.
The options for data entry and manipulation.

4. PulsePoint: Research Revelation68
The percent of online consumers who put trust in online consumer recommendations.
See the text Instructors Manual (downloadable from the text website) for ideas for using this research-generated statistic.

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