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Principles and practice of structural equation modeling

서명/저자: Principles and practice of structural equation modeling / Rex B. Kline

내용주기: 완전내용Part I. Concepts and tools -- Coming of age -- Regression fundamentals -- Significance testing and bootstrapping -- Data preparation and psychometrics review -- Computer tools -- Part II. Specification and identification -- Specification of observed variable (path) models -- Identification of observed-variable (path) models -- Graph theory and the structural causal model -- Specification and identification of confirmatory factor analysis models -- Specification and identification of structural regression models -- Part III. Analysis -- Estimation and local fit testing -- Global fit testing -- Analysis of confirmatory factor analysis models -- Analysis of structural regression models -- Part IV. Advanced techniques and best practices -- Mean structures and latent growth models -- Multiple-samples analysis and measurement invariance -- Interaction effects and multilevel structural equation modeling -- Best practices in structural equation modeling.

초록/해제: 요약 :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.