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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

by Niels J. Blunch

Student Resources

  1. Datasets
  2. Exercises
    • Chapter 1: Introduction
    • Chapter 2: Measuring Your Variables: Reliability and Validity
    • Chapter 3: Factor Analysis
    • Chapter 5: Data-entering and programming in EQS
    • Chapter 6: Models with Only Manifest Variables
    • Chapter 7: The Measurement Model in SEM: Confirmatory Factor Analysis
    • Chapter 8: The General Model
    • Chapter 9: Mean Structures and Multi-group Analysis
    • Chapter 10: Incomplete and Non-normal Data
    • Chapter 11: Latent Curve Models
  3. Diagrams and Screencasts
  4. Suggested Readings
  5. Flashcards
  6. Study Skills

Diagrams and Screencasts

Click here to access PowerPoints detailing helpful diagrams and screenshots from the book.

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Blunch - Chapter 1 - Introduction.ppt

Blunch - Chapter 2 - Measuring Your Variables Reliability and Validity.ppt

Blunch - Chapter 3 - Factor Analysis.ppt

Blunch - Chapter 4 - Structural Equation Modeling with EQS.ppt

Blunch - Chapter 5 - Data-entering and programming in EQS.ppt

Blunch - Chapter 6 - Models with Only Manifest Variables.ppt

Blunch - Chapter 7 - The Measurement Model in SEM Confirmatory Factor Analysis.ppt

Blunch - Chapter 8 - The General Model.ppt

Blunch - Chapter 9 - Mean Structures and Multi-group Analysis.ppt

Blunch - Chapter 10 - Incomplete and Non-normal Data.ppt

Blunch - Chapter 11 - Latent Curve Models.ppt

Blunch - (Appendix A).ppt

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