Survey Design, Analysis, and Reporting

Catalog description

This course will provide students with a comprehensive understanding of survey design, analysis and reporting. The course starts with secondary data analysis and transitions to primary data collection and. Secondary data analysis covers hypothesis testing using nationally representative samples (e.g., NHANES, BRFSS, NHIS, YRBSS) with complex sampling designs, weighted and nested (multilevel) data analysis. Primary data collections includes questionnaire development, scale development, and data analysis of survey data using Stata (e.g., regression modeling, factor analysis, item response theory). Survey administration, study design and sampling, development of web-based surveys using Qualtrics, creating codebooks and managing data are covered through an experiential learning process.