Title: Principles and practice of structural equation modeling
First published: 1998
Description: Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan).

*New to This Edition*
*Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more.
*Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping.
*Expanded coverage of psychometrics.
*Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan).
*Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models.
Subjects: Statistical methods, Multivariate analysis, Social sciences, Statistics, Data processing, Mathematical models, Sciences sociales, Statistics & numerical data, Multivariate Analyse, Methode statistique, Modeles mathematiques, Analyse multivariee, Informatique, Structural equation modeling, Methods, Structurele vergelijkingen, Strukturgleichungsmodell, Statistics as Topic, Modelisation par equations structurelles, Methodes statistiques, Statistique, Social sciences, statistical methods, Social sciences--statistical methods--data processing, Qa278 .k585 2016, 519.5/35, Statistics--mathematical models, Social sciences--methods, Social sciences--statistics & numerical data, Statistics--methods, Qa278 .k585 2005, Qa 278 k65p 2005