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Index
Cover
Table of Contents
Preface
Introduction
1 Structural Equation Modeling
1.1. Basic concepts
1.2. Basic principles of SEM
1.3. Model evaluation of the solution of the estimated model
1.4. Confirmatory approach in SEM
1.5. Basic conventions of SEM
1.6. Place and status of variables in a hypothetical model
1.7. Conclusion
1.8. Further reading
2 Structural Equation Modeling Software
2.1. R environment
2.2. lavaan
2.3. Preparing and importing a dataset
2.4. Major operators of lavaan syntax
2.5. Main steps in using lavaan
2.6. lavaan fitting functions
3 Steps in Structural Equation Modeling
3.1. The theoretical model and its conceptual specification
3.2. Model parameters and model identification
3.3. Models with observed variables (path models)
3.4. Actor-partner interdependence model
3.5. Models with latent variables (measurement models and structural models)
3.6. Hybrid models
3.7. Measure with a single-item indicator
3.8. General structural model including single-item latent variables with a single indicator
3.9. Conclusion
3.10. Further reading
4 Advanced Topics: Principles and Applications
4.1. Multigroup analysis
4.2. Latent trait-state models
4.3. Latent growth models
4.4. Further reading
References
Index
End User License Agreement
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