— Multilevel Models
Introduction to statistical techniques for the analysis of normal, hierarchically structured data, such as cross-sectional clustered data or repeated-measures data. Topics include hierarchical linear models, latent growth curve models, and how these methods handle unbalanced and/or missing data.
Topics
- hierarchical linear models
- latent growth curve models
- and how these methods handle unbalanced and/or missing data
Topics explicitly listed in official catalogue description
Prerequisites & course information
Course Description: Introduction to statistical techniques for the analysis of normal, hierarchically structured data, such as cross-sectional clustered data or repeated-measures data. Topics include hierarchical linear models, latent growth curve models, and how these methods handle unbalanced and/or missing data. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027