Applications of structural equation modeling typical in psychology and related disciplines. Topics include: notation, path diagrams, specification and identification, estimation, modification, power estimation, measurement models, multivariate regression models, panel models, growth models. Emphasis on model comparisons, limits on causal inference. Equips students to apply, interpret, and reports results of structural equation modeling analyses. Training in the use of relevant software. Mandatory weekly lab sessions. Consent of instructor required.