Secondary Data Analysis
Introduction to the advantages and challenges of working with secondary data, involving hands on experience with the preparation and data analysis of large data sets. Subjects include the basics of Confirmatory Factor Analysis, Structural Equation Modeling, and Multi-group analyses using AMOS software. May be counted toward advanced research or statistical methods course or elective. Three lecture hours a week for one semester, with additional hours to be arranged.
Prerequisites & course information
Introduction to the advantages and challenges of working with secondary data, involving hands on experience with the preparation and data analysis of large data sets. Subjects include the basics of Confirmatory Factor Analysis, Structural Equation Modeling, and Multi-group analyses using AMOS software. May be counted toward advanced research or statistical methods course or elective. Three lecture hours a week for one semester, with additional hours to be arranged.
Sources
- Course catalogue ↗2026-2027