4.0

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Covers components of research design for population-based studies drawn from secondary data. Topics include: a framework for evaluating research design, introduction to secondary data sources, defining study populations, complex sampling designs, data structure, and content in national health surveys, principles of questionnaire design, survey data collection methodologies and measure construction. Addresses important measurement topics, including measurement equivalence and case-mix adjustment. Emphasizes secondary data from national and international health and health care surveys, but also addresses major health program administrative datasets (e.g. Medicare, Medicaid). Student exercises emphasize the development and acquisitions of skills needed to manipulate data from large population survey or administrative datasets to answer a specific research question.