000 03139cam a2200385 i 4500
001 vtls001545827
003 VRT
005 20220901083458.0
008 141210t20152015nyua b 001 0 eng d
010 _a2014-040687
020 _a1462515363
020 _a146251779X
020 _a9781462517794
020 _a9781462515363
035 _a(OCoLC)893721619
040 _aDLC
_beng
_erda
_cDLC
_dYDX
_dUKMGB
_dYDXCP
_dCDX
_dOCLCF
_dIUL
_dSTF
_dOCLCO
_dTKU
042 _anbic
100 1 _aBrown, Timothy A.,
_d1960-
_eauthor.
245 1 0 _aConfirmatory factor analysis for applied research
_h[electronic resource] /
_cby Timothy A. Brown.
250 _aSecond edition.
260 _aNew York :
_bThe Guilford Press,
_c©2015.
300 _axvii, 480 pages :
_billustrations ;
_c26 cm.
336 _atext
_2rdacontent.
337 _acomputer
_2rdamedia.
338 _aonline resource
_2rdacarrier.
490 1 _aMethodology in the social sciences.
504 _aIncludes bibliographical references (pages 431-444) and index.
505 0 _aThe common factor model and exploratory factor analysis -- Introduction to CFA -- Specification and interpretation of CFA models -- Model revision and comparison -- CFA of multitrait-multimethod matrices -- CFA with equality constraints, multiple groups, and mean structures -- Other types of CFA models : higher-order factor analysis, scale reliability evaluation, and formative indicators -- Data issues in CFA : missing, non-normal, and categorical data -- Statistical power and sample size -- recent developments involving CFA models.
520 _a"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"--
650 0 _aFactor analysis.
655 _aElectronic books
830 0 _aMethodology in the social sciences.
856 _uhttps://drive.google.com/file/d/1Iph2sE9lLgucTn7i5-n_EWhlMF--qHpe/view?usp=sharing
942 _2lcc
_cEBK
999 _c51545
_d51545