Secondary Data Analysis credit:

4 Hours

Prepares graduate students to either analyze secondary data such as large inter/national datasets, or intelligently work with a data analyst to do so. Follows steps of a project in sequence--identifying, choosing, and downloading data; obtaining IRB; creating usable variables by recoding, merging, transforming; applying specialized weighting or other analysis techniques; identifying possible sources of funding for secondary data analysis; and writing techniques for unique issues that arise with secondary data. Prerequisite: EPSY 480 or equivalent. Restricted to graduate students.