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This course provides a comprehensive overview of advanced and special topics in structural equation modelling. The course covers advanced applications for the analysis of repeated measures data, including latent growth curve modelling; dynamic factor models for analysing complex time-lagged relations in a set of repeated measures; and latent state-trait models for partitioning stable and time- varying components of a construct measured repeatedly. The other advanced topics, such as CFA models for ordered categorical data; multilevel modelling in SEM; growth mixture modelling (GMM); and Bayesian SEM estimation, that are gaining attention and growing in popularity among applied and quantitative researchers are also covered in the course.
Skill Level: Beginner