000			02969nam a2200313Ii 4500
001			826441
007			tz
008			141023s2015 xxum b b001 0 eng d
020			_a9781462515363
020	1	0	_a9781462517794
049			_aPIMLIB
050			_aBF39.2.F32 _bB881C
100	1	0	_aBrown, Timothy A., _953206
245	1	0	_aConfirmatory factor analysis for applied research / _cTimothy A. Brown.
250			_aSecond edition.
260			_aLondon : _bThe Guilford Press, _c2015. _953209
300			_axvii, 462 pages ; _c26 cm.
449			_aNew Arrivals-Oct.2017
490	1		_aMethodology in the social sciences.
504			_aIncludes bibliographical references (pages 431-444) and indexes.
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. _953207
690			_a0015-1 วิทยาลัยนานาชาติ บริหารธุรกิจมหาบัณฑิต สาขาธุรกิจระหว่างประเทศ IMBA ป.โท (หลักสูตรนานาชาติ)
942			_cBK
988			_c826441
998			_asiriporn
999			_c826441 _d826441