Confirmatory Factor Analysis for Applied Research
Brown, Timothy A.
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BOOK SUMMARY
Emphasizing practical and theoretical aspects of confirmatory factor analysis (CFA) rather than mathematics or formulas, Timothy A. Brown uses rich examples derived from the psychology, management, and sociology literatures to provide in-depth treatment o
BOOK SYNOPSIS
Emphasizing practical and theoretical aspects of confirmatory factor analysis (CFA) rather than mathematics or formulas, Timothy A. Brown uses rich examples derived from the psychology, management, and sociology literatures to provide in-depth treatment of the concepts, procedures, pitfalls, and extensions of CFA methodology. Chock full of useful advice and tables that outline the procedures, the text shows readers how to conduct exploratory factor analysis (EFA) and understand similarities to and differences from CFA; formulate, program, and interpret CFA models using popular latent variable software packages such as LISREL, Mplus, Amos, EQS, and SAS/CALIS; and report results from a CFA study. Also covered are extensions of CFA to traditional IRT analysis, methods for determining necessary sample sizes, and new CFA modeling possibilities, including multilevel factor models and factor mixture models. Special features include a Web page offering data and program syntax files for many of the research examples so that readers can practice the procedures described in the book with real data. The Web page also includes links to additional CFA-related resources.
AUTHOR BIO
Timothy A. Brown is a professor in the Department of Psychology at Boston University (BU), and Director of Research at BU's Center for Anxiety and Related Disorders. He has published extensively in the areas of the classification of anxiety and mood disorders, psychometrics, and methodological advances in social sciences research.
BOOK REVIEWS
"This user-friendly guide to confirmatory factor analysis provides information and examples to help students and researchers through most any methodological situation. An abundance of practical advice on options for analyses, data issues, and reading and interpreting the data output make this a useful guide for almost anyone. Graduate students will find this an especially worthwhile addition to their statistical education and it would be a valuable course textbook for professors...4 stars!"--Doody's Review Service
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Social Science Books :: Methodology Books
MORE BOOK INFO
ISBN: 1593852746
ISBN(13-digit): 9781593852740
Dewey Decimal: 150.1/5195354
Library of Congress: 2006001103
Book Publisher: Guilford Pubn
Language: ENG
No. of Pages: 475
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