More descriptive name: Latent variable measurement models and path analysis

BSMG is: Bartholomew D, Steele F, Moustaki I, and Galbraith J. (2002) The analysis and interpretation of multivariate data for social scientist, Chapman and Hall.

Kline is: Kline, R.B. (2005). Principles and Practice of Structural Equation Modeling, Second Edition. Guilford.

• Intro to course, Intro to the scope of latent variable models (1 week)

  Notes for Intro to Course. AND Read Kline Chapter 1 AND BSMG Chapter 6.1

• Measurement Models (7 weeks)

  • Fundamental ideas of measurement
    Notes on Measurement
    Additional notes on Measurement
    Notes about mathematics of dimensionality
    
    • Validity and Reliability. Kline Chapter 3.3
    • Dimensionality, formative vs reflective indicators.
  • Measuring continuous latent variables
    Notes about Factor analysis, more notes, Literature review on sample size
    Using AMOS for CFA, Using AMOS for multi group CFA, still more notes about Factor analysis
    • Factor Analysis. BSMG Chapter 6 and Kline Chapter 7
    • Principal component analysis. BSMG Chapter 5
    • Factor Analysis for binary and ordered categorical variables (Latent Trait models). BSMG Chapter 7 and 8
  • Measuring categorical latent variables
    Notes about Latent Class analysis, Medical Diagnosis- Latent Class example
    • Latent class analysis. BSMG Chapter 9.
    • Latent class growth models.
    • Hidden Markov Models

• Path Analysis (7 weeks)

  • An introduction to causality
    Notes about causality
  • Path Analysis
    Notes about path analysis, Notes about bootstrapping
    • Regression review. Kline Chapter 2.
    • Total, direct, and indirect effects. Estimating simultaneous relationships. Mediation and Moderation. Kline Chapter 5 and 6 AND Class Notes and we'll look at the following papers in class...
      • Frazier PA, Tix AP, Barron KE (2004). Testing Moderator and Mediator effects in Counseling Psychology Research, Journal of Counseling Psychology, 51(1) 115-134.
      • Wall MM (2001). A close look at the effects of multicollinearity in the most simple case, Research Report No 2001-023, Division of Biostatistics, University of Minnesota
      • Cole DA, Maxwell, SE (2003). Testing Mediational Models with Longitudinal Data: Questions and Tips in the Use of Structural Equation Modeling, Journal of Abnormal Psychology, 112(4), 558-577.
  • Structural equation modeling. Kline Chapter 8
    Notes about SEM
    Normality, sample size, and missing data
  • Latent class regression.
    • Reference Mplus demo examples

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