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  • Confirmatory Factor Analysis for Applied Research by Timothy A. Brown book cover
  • Confirmatory Factor Analysis for Applied Research by Timothy A. Brown book cover
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Confirmatory Factor Analysis for Applied Research

by Timothy A. Brown

A practical guide to confirmatory factor analysis

$114.84 USD
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AlbakiReads Editorial

A practical guide to confirmatory factor analysis

Timothy A. Brown’s second edition presents confirmatory factor analysis (CFA) through both its concepts and its practical application, with worked examples from psychology, management, and sociology. It covers the process of formulating, programming, interpreting, and reporting CFA models, while explaining how CFA relates to exploratory factor analysis. The updated edition includes chapters and examples on Bayesian CFA, multilevel measurement models, exploratory structural equation modeling, bifactor analysis, measurement invariance with categorical indicators, and latent-variable scaling. Its software coverage includes LISREL, Mplus, EQS, and SAS/CALIS; companion materials provide data and program syntax files for many of the examples.

Good fit for readers who enjoy

  • Researchers and graduate students applying CFA in psychology, management, or sociology.
  • Readers who want guidance on CFA procedures, interpretation, and reporting.
  • Users of latent-variable software seeking worked examples and companion data files.

Themes

Confirmatory factor analysisLatent-variable modelingMeasurement and exploratory factor analysisStatistical research methods

Based on publisher information and book metadata.

Book overview

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.
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