ISBN-13: 9781462548279 / Angielski / Twarda / 2022 / 430 str.
ISBN-13: 9781462548279 / Angielski / Twarda / 2022 / 430 str.
The definitive one-stop resource on structural equation modeling (SEM) is now in a significantly revised second edition. New chapters cover bifactor models, item parceling, multitrait–multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. The expanded companion website presents full datasets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition.