Structural Equation Modeling with Amos: Basic Concepts, Applications, and Programming – by Byrne Barbara M. (2016)

This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter “walks” readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. Accompanying each application is: an explanation of the issues addressed and a schematic presentation of hypothesized model structure; Amos　 input and output with interpretations; use of the Amos toolbar icons and pull-down menus; and data upon which the model application was based, together with updated references pertinent to the SEM model tested.

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Table of 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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