000			03484nam a2200433 i 4500
005			20250930140834.0
008			150914s2015 nyu b 001 0 eng
020			_a9781462517794 _qhardcover
020			_a146251779X _qhardcover
020			_a9781462515363 _qpaperback _cRM267.60
020			_a1462515363 _qpaperback
039		9	_a201512031043 _basrul _c201512020934 _drosli _c201512010957 _dbinar _y09-14-2015 _zbinar
040			_aDLC _beng _erda _cDLC _dYDX _dUKMGB _dYDXCP _dCDX _dOCLCF _dIUL _dSTF _dOCLCO _dIDU _dUKM _erda
090			_aQA278.5.B766 2015
090			_aQA278.5 _b.B766 2015
100	1		_aBrown, Timothy A., _d1960-, _eauthor.
245	1	0	_aConfirmatory factor analysis for applied research / _cTimothy A. Brown.
250			_aSecond edition.
264		1	_aNew York : _bThe Guilford Press, _c[2015].
264		4	_c©2015
300			_axvii, 462 pages ; _c26 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aMethodology in the social sciences
504			_aIncludes bibliographical references 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'-- _cProvided by publisher.
650		0	_aFactor analysis. _959698
830		0	_aMethodology in the social sciences.
907			_a.b16205820 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA278.5.B766 2015
914			_avtls003593110
990			_ark4
991			_aFakulti Sains Sosial dan Kemanusiaan
998			_at _b2015-01-09 _cm _da _feng _gnyu _y0 _z.b16205820
999			_c598309 _d598309