Confirmatory Factor Analysis for Applied Research, Second Edition
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With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS) understand the similarities and differences between CFA and exploratory factor analysis (EFA)...
With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS) understand the similarities and differences between CFA and exploratory factor analysis (EFA) and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (www.guilford.com/brown3-materials) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources.
New to This Edition
*Updated throughout to incorporate important developments in latent variable modeling.
*Chapter on Bayesian CFA and multilevel measurement models.
*Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables.
*Utilizes the latest versions of major latent variable software packages.
*The first (and still only) complete resource on using CFA as an analytic tool, revised and expanded: 25% new material addresses the latest developments in the field.
*Popular with researchers and students for its emphasis on the practical aspects of CFA over math and formulas.
*Rich examples are derived from actual research in psychology, management, and sociology.
*Covers all popular software packages (LISREL, Mplus, EQS, SAS PROC CALIS, and more), plus advanced topics.
*From a top-selling textbook author who presents internationally, most recently in the UK, the Netherlands, and Germany.
*Online supplement includes datasets from the examples and links to related resources.
New to This Edition
*Updated throughout to incorporate important developments in latent variable modeling.
*Chapter on Bayesian CFA and multilevel measurement models.
*Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables.
*Utilizes the latest versions of major latent variable software packages.
*The first (and still only) complete resource on using CFA as an analytic tool, revised and expanded: 25% new material addresses the latest developments in the field.
*Popular with researchers and students for its emphasis on the practical aspects of CFA over math and formulas.
*Rich examples are derived from actual research in psychology, management, and sociology.
*Covers all popular software packages (LISREL, Mplus, EQS, SAS PROC CALIS, and more), plus advanced topics.
*From a top-selling textbook author who presents internationally, most recently in the UK, the Netherlands, and Germany.
*Online supplement includes datasets from the examples and links to related resources.
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