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Structural equation modeling with AMOS : basic concepts, applications, and programming by Barbara M. Byrne

By: Series: Multivariate applications seriesPublication details: Routledge New York 2016Edition: 3rd edDescription: xx,437 pagesISBN:
  • 9781138797031
Subject(s): DDC classification:
  • 519.535
Contents:
Section 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
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Book Book Indian Institute of Management Visakhapatnam General Stacks 519.535 BYR (Browse shelf(Opens below)) Available 000839

Section 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

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