PSYCH 204
Intro to Advanced Methods in Psychological Science
This course is intended to introduce a collection of core “advanced” methodologies common in the psychological sciences. Specifically, the course is focused on 3 core quantitative methodological topics: 1) latent variable and structural equation modeling, 2) multilevel modeling, and 3) psychometrics (e.g., item response theory). Data analytic examples and assignments will all be from applied psychological research examples. Students are also encouraged to incorporate their own data as well.
Topics
- Achieve proficiency with R and relevant packages for latent variable, multilevel, and psychometric modeling. Understand the theoretical rationales for latent variable modeling, psychometric theory, and multilevel modeling. Successfully conduct and interpret several types of structural equation models, multilevel models, and item response theory models. Understand how repeated measures (and by extension, random effects) are handled by structural equation models versus multilevel models.
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1197131', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027