This upper-level course focuses on data analysis methods for research involving a variety of simple and complex latent factor structures, including confirmatory factor analysis, path models, growth models, and latent class and trait models. A variety of software is presented, including Amos, EQS, and Mplus. Pre-requisites: EDPSY 594 or equivalent. Recommended for graduate students who will be actively consuming or conducting quantitative research involving causal theoretical models.
Methods Focus
Quantitative Methods
Tier
3
Credits
(3 credits)
Quarter
Alternating Winter quarters (even years)