University of Iowa 2 credits MGMT
Introduction to concepts and analytical methods of latent variable modeling in behavioral and social sciences; building on knowledge about the general linear model and multivariate analyses with observed variables, this course emphasizes basic and advanced analytic techniques for modeling the relationships between latent and observed variables and those among latent variables; topics include measurement fundamentals (latent constructs and measurement errors), factor analysis, path analysis, foundations of structural equation modeling, latent variable methods for modeling longitudinal data, latent interaction, multigroup analysis, and person-centered approaches with latent variables.
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