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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 goto resource on confirmatory factor analysis (CFA). Detailed, workedthrough 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/brown3materials) offers data and program syntax files for most of the research examples, as well as links to CFArelated 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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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