Handbook of Structural Equation Modeling, 2nd Edition (Original PDF from Publisher)

Handbook of Structural Equation Modeling

Now in a greatly updated second edition, this is the authoritative one-stop resource on structural equation modeling (SEM) from prominent methodologists. Model selection, bifactor models, item parceling, multitrait–multimethod models, exploratory SEM, mixture models, SEM with small samples, and other topics are covered in twenty-three additional chapters. Beginning with the basics of SEM (causality, visualization, assumptions, estimate, model fit, and handling missing data), the book proceeds on to key model types that concentrate on the sources of covariance between observable variables that are not visible, and finally, more intricate, specialized applications. Every chapter offers theoretically focused explanations, thoroughly explained analysis, and captivating examples that highlight potential modeling applications for the reader’s data. Many of the chapters’ complete data sets, code, and output are available on the enlarged companion website, along with extra chapters from the previous version.