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date: 23 April 2019

Abstract and Keywords

Structural equation modeling (SEM) has become increasingly popular among social science researchers, yet many applied clinical researchers are hesitant to utilize this powerful and flexible multivariate data analytic technique. This chapter provides an introductory and applied guide to the use of common SEM models, with a focus on how SEM can help advance the understanding of psychopathology and its treatment. The chapter introduces general SEM concepts such as model depiction, identification, and evaluation; it also describes the advantages associated with this approach to data analysis. The chapter presents specific, applied examples of confirmatory factor analysis, structural regression models, and latent growth models. Sample Mplus scripts and output are provided.

Keywords: Multivariate analysis, structural equation modeling, latent variable, regression analysis, confirmatory factor analysis, latent growth model

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