000			04913nam a2200337 i 4500
001			42764
008			150529s2016 nyu b 001 0 eng
010			_a 2015021490
020			_a9781138811904 _qhb : alk. paper
020			_a9781138811935 _qpb : alk. paper
020			_z9781315749105 _qe : alk. paper
040			_aBAUN _beng _cBAUN _erda
049			_aBAUN_MERKEZ
050	0	0	_aQA278 _b.S36 2016
082	0	0	_223
100	1		_aSchumacker, Randall E.
245	1	2	_aA beginner's guide to structural equation modeling / _cRandall E. Schumacker, Richard G. Lomax.
250			_aFourth edition.
264		1	_aNew York, NY : _bRoutledge, _c2016.
300			_axxi, 351 pages ; _c26 cm
336			_atext _2rdacontent _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _2rdacarrier _bnc
504			_aIncludes bibliographical references and index.
505	0	0	_t-- Machine generated contents note: chapter 1 Introduction _t-- What is Structural Equation Modeling? _t-- History of Structural Equation Modeling _t-- Why Conduct Structural Equation Modeling? _t-- Structural Equation Modeling Software _t-- Book Website _t-- Summary _t-- Exercises _t-- References _t-- chapter 2 Data Entry and Edit Issues _t-- Data Set Formats _t-- Data Editing Issues _t-- Summary _t-- Exercises _t-- References _t-- chapter 3 Correlation _t-- Types of Correlation Coefficients _t-- Factors Affecting Correlation Coefficients _t-- Outliers _t-- Correction for Attenuation _t-- Non-positive Definite Matrices _t-- Bivariate, Part, and Partial Correlations _t-- Suppressor Variable _t-- Correlation versus Covariance _t-- Variable Metrics (Standardized vs Unstandardized) _t-- Causation Assumptions and Limitations _t-- Summary _t-- Exercises _t-- References _t-- chapter 4 Regression Models _t-- Overview _t-- Multiple Regression Example _t-- Summary _t-- Measurement Eror _t-- Additive Equation _t-- Chapter Footnote _t-- Exercises _t-- References _t-- chapter 5 Path Models _t-- Path Model Diagrams _t-- Decomposition of Correlation Matrix _t-- Path Model Example _t-- Summary _t-- Exercise _t-- Chapter Footnote _t-- References _t-- chapter 6 Factor Analysis _t-- Overview _t-- EFA Example _t-- Pattern and Structure Matrices _t-- Confirmatory Factor Analysis _t-- CFA Example _t-- Summary _t-- Exercise _t-- References _t-- chapter 7 SEM Basics _t-- SEM Modeling Steps _t-- Model-fit Criteria _t-- Types of Model-fit Criteria _t-- Hypothesis Testing _t-- Parameter Significance _t-- Two-Step Versus Four-Step Approach to Modeling _t-- Summary _t-- Exercises _t-- Chapter Footnote _t-- References _t-- chapter 8 Multiple Group (Sample) Models _t-- Measurement Model Group Difference _t-- Structural Model Group Difference _t-- Multiple Sample Model _t-- Summary _t-- Exercises _t-- Suggested Readings _t-- References _t-- chapter 9 Second-Order CFA Models _t-- Model Specification _t-- Model Identification _t-- Model Estimation _t-- Model Testing _t-- Model Interpretation _t-- Summary _t-- Exercise _t-- Suggested Readings _t-- References _t-- chapter 10 Dynamic Factor Model _t-- Model Specification _t-- Model Identification _t-- Model Estimation _t-- Model Testing _t-- Model Interpretation _t-- Summary _t-- Exercise _t-- Suggested Readings _t-- References _t-- chapter 11 Multiple-Indicator Multiple-Cause (MIMIC) Model _t-- Model Specification _t-- Model Identification _t-- Model Estimation _t-- Model Testing _t-- Model Modification _t-- Summary _t-- Exercise _t-- Suggested Readings _t-- References _t-- chapter 12 Mixed Variable and Mixture Models _t-- Mixed Variable Model _t-- Different Variable Types _t-- Model Specification _t-- Model Identification _t-- Model Estimation _t-- Model Testing _t-- Model Modification _t-- Robust Chi-square Statistic _t-- Mixture Model _t-- Latent Classes _t-- Summary _t-- Exercises _t-- Suggested Readings _t-- References _t-- chapter 13 Multi-Level Models _t-- It's Just Regression _t-- Multi-level Model Example _t-- Observed Variables _t-- Multi-level Model Example _t-- Latent Variables _t-- Summary _t-- Exercises _t-- Suggested Readings _t-- References _t-- chapter 14 Latent Growth Models _t-- Repeated Measures Designs _t-- Latent Growth Curve Model _t-- Intercept and Slope _t-- Latent Growth Curve Model _t-- Group Differences _t-- Summary _t-- Exercises _t-- Suggested Readings _t-- References _t-- chapter 15 SEM Interaction Models _t-- Main Effects and Interaction Effects _t-- Kenny _t-- Judd Approach _t-- Latent Variable Interaction Model _t-- Summary _t-- Exercises _t-- Suggested Readings _t-- References _t-- chapter 16 Reporting SEM Research _t-- Overview _t-- Checklist for Structural Equation Modeling _t-- Data Preparation _t-- Model Specification _t-- Model Identification _t-- Model Estimation _t-- Model Testing _t-- Model Modification _t-- Summary _t-- Suggested Readings _t-- References.
650		0	_aStructural equation modeling.
650		0	_aRegression analysis.
650		0	_aSocial sciences _xStatistical methods.
700	1		_aLomax, Richard G.
942			_2lcc _cKT
999			_c41296 _d41296