000 | 01750 a2200181 4500 | ||
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999 |
_c49348 _d49348 |
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020 | _a9780805863734 | ||
082 |
_a519.535 _bBYR |
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100 |
_aByrne, Barbara M. _961126 |
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245 | _aStructural equation modeling with AMOS : basic concepts, applications and programming | ||
250 | _aEd.2 | ||
260 |
_aNew York _bRoutledge _c2010 |
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300 | _axviii,396p. | ||
505 | _aCONTENTS Preface xv Acknowledgements xix Part 1. Introduction 1. Structural Equation Models: The Basics 3-15 2. Using the AMOS Program 17-49 Part 2. Applications in Single-Group Analyses 3. Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model) 53-95 4. Testing for the Factorial Validity of Scores from a Measuring Instrument (First-Order CFA Model) 97-127 5. Testing for the Factorial Validity of Scores from a Measuring Instrument (Second-order CFA Model) 129-152 6. Testing the Validity of a Causal Structure 161-194 Part 3. Applications in Multiple-Group Analyses 7. Testing for the Factorial Equivalence of Scores from a Measuring Instrument (First-Order CFA Model) 197-230 8. Testing for the Equivalence of Latent Mean Structures (First-Order CFA Model) 231-256 9. Testing for the Equivalence of a Causal Structure 257-271 Part 4. Other Important Applications 10. Testing for Construct Validity: The Multitrait-Multimethod Model 275-301 11. Testing for Change Over Time: The Latent Growth Curve Model 303-325 Part 5. Other Important Topics 12. Bootstrapping as an Aid to Nonnormal Data 329-352 13. Addressing the Issue of Missing Data 363-364 Endnote 365 References 367 Author Index 385 Subject Index 391 | ||
600 | _944540 | ||
890 | _aUSA | ||
891 | _aFM | ||
942 | _2ddc |