Fundamentals of Data Analysis The HMO study introduced in Chapter 3 resulted in a survey from which 1145 usable questionnaires were obtained. This represents a stack of paper literally over 10 feet high. Data analysis plays an important role in turning this quantity of paper into defensible, actionable sets of conclusions and reports. It...
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Fundamentals of Data Analysis – Editing and Coding Editing The role of the editing process is to identify omissions, ambiguities, and errors in the responses. It should be conducted in the field by the interviewer and field supervisor, as well as by the analyst just prior to data analysis. Among the problems to be...
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Tabulating Each Question Usually the first step in data analysis is to analyze each question or measure by itself. There is a variety of ways in which responses to a question can be presented. The most common are a frequency distribution and an average (or percentage). Frequency Distribution A frequency distribution simply reports the...
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Fundamentals of Data Analysis – Difference Between Means or Percentages The second step in most data analysis procedures is to repeat the analysis o: a single question for various subgroups of the population. Thus, the interest might be in the heavy user, and the analysis would be done for this group. More likely, it...
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Fundamentals of Data Analysis – Cross-Tabulations The objective is still to repeat the analysis of a single question for various subgroups. However, if the initial analysis is based on a frequency distribution instead of sample means, then the appropriate analysis is termed cross-tabulation. It also is called cross-tabs, cross-classification, and contingency table analysis. Figure...
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