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Mechanics of Survey Data Analysis

In this chapter the authors outline important issues to consider when setting up a survey so that the administration team or a third party vendor is able to conduct meaningful analyses afterward. They discuss decisions surrounding data structure, confidential versus anonymous surveys, and missing data and reporting elements. They also discuss understanding variability, item history, and using norms and benchmark data. The latter part of the chapter focuses on model-building. In summary, it is critical to establish a purpose for a survey and to have a clear strategy for data analysis at the outset to facilitate leaders’ understanding of the data and their ability to act afterward.