000			01975 a2200241 4500
999			_c1384 _d1384
003			OSt
005			20180829134251.0
008			180829b ||||| |||| 00| 0 eng d
020			_a9781138797031
040			_cIIMV
082			_a519.535
100	1		_aByrne, Barbara M. _942
245			_aStructural equation modeling with AMOS : basic concepts, applications, and programming _cby Barbara M. Byrne
250			_a3rd ed.
260			_bRoutledge _aNew York _c2016
300			_axx,437 pages
440	1		_aMultivariate applications series. _943
505			_aSection 1: Introduction 1. Structural Equation Modeling: The Basics 2. Using the Amos Program Section 2: Single-Group Analyses Confirmatory Factor Analytic Models 3.. Application 1: Testing the Factorial Validity of a Theoretical Construct (First-Order CFA Model) 4. Application 2: Testing the Factorial Validity of Scores from a Measurement Scale (First-Order CFA Model) 5. Application 3: Testing the Validity of Scores from a Measurement Scale (Second-Order CFA Model) Full Latent Variable Model 6. Application 5: Testing the Validity of a Causal Structure Section 3: Multiple-Group Analyses Confirmatory Factor Analytic Models 7. Application 5: Testing Factorial Invariance of Scales from a Measurement Scale (First-Order CFA Model) 8. Application 6: Testing Invariance of Latent Mean Structures (First-Order CFA Model) Full Latent Variable Model 9. Application 7: Testing Invariance of a Causal Structure Section 4: Other Important Applications 10. Application 8: Testing Evidence of Construct Validity: The Multitrait-Multimethod Model 11. Application 9: Testing Change Over Time: The Latent Growth Curve Model Section 5: Other Important Topics 12. Application 10: Use of Bootstrapping in Addressing Non-normal Data 13. Application 11: Addressing the Issues of Incomplete Data
650		0	_aStructural equation modeling _944
650		0	_aAMOS _945
650		0	_aMultivariate analysis _946
942			_2ddc _cBK