Confirmatory factor analysis for applied research / Timothy A. Brown.
Material type: TextSeries: Methodology in the social sciencesPublisher: New York ; London : The Guilford Press, [2015]Edition: Second editionDescription: xvii, 462 pages ; 26 cmISBN:- 9781462515363
- 150.1/5195354 23
- BF39.2.F32 B76 2015
Item type | Current library | Call number | Status | Date due | Barcode | |
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Books | Muscat University Library | BF39.2.F32 B76 2015 (Browse shelf(Opens below)) | Available | 001592 | ||
Books | Muscat University Library | BF39.2.F32 B76 2015 (Browse shelf(Opens below)) | Available | 001593 |
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HD30.28. .J648 2017 Exploring strategy / Text and Cases | BF38.5 B644 2016 Report writing / | BF38.5 B644 2016 Report writing / | BF39.2.F32 B76 2015 Confirmatory factor analysis for applied research / | BF39.2.F32 B76 2015 Confirmatory factor analysis for applied research / | BF76.5 .B67 2018 Research design and methods : a process approach / | BF441 C688 2017 Critical thinking skills |
Includes bibliographical references and index.
"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 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"-- Provided by publisher.
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