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This book presents powerful tools for integrating interrelated compositessuch as capabilities, policies, treatments, indices, and systemsinto structural equation modeling (SEM). Jrg Henseler introduces the types of research questions that can be addressed with compositebased SEM and explores the differences between composite and factorbased SEM, variance and covariancebased SEM, and emergent and latent variables. Using rich illustrations and walkedthrough data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, secondorder constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides.
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