Summary
Contents
This volume highlights the theory that decisions made during the design of a data collection instrument influence the kind of data and the format of the data that are available for analysis. Opening with a discussion on the selection of the data collection technique(s) and how this impacts on data processing and the data for later analysis, the book covers key issues such as: should you create your own instrument for a questionnaire? how do you test a questionnaire? what are the characteristics of good data processing? how to deal with missing data? how to scale an evaluation and create subfiles for analysis? In addition, each major section concludes with examples and when appropriate, directs the reader to commonly available computer software that can aid in data processing.
Introduction to Data Processing
Introduction to Data Processing
Data processing is like the backstage of a theater. It is rarely seen and frequently ignored, even by researchers. Few textbooks explain it, and instructors typically give it only passing comment. Yet, just as what goes on behind the scenes greatly contributes to the quality of a stage production, data ...