Psychology 202b – Advanced Psychological Data II

  • Syllabus
  • Lecture Notes: Note that this file may change as the semester proceeds so print at your own risk!!
  • Assignments:
    • Assignment 1 — Due: 2/5/13
    • Assignment 2 — Due: 2/28/13
      • MMPI Data
    • Assignment 3 — Due: 3/12/13
      • LogisticData.txt
    • Assignment 4 — Due: 4/23/13
      • Cynicism EFA results
      • Hypomanic EFA results
      • Rathus Assertiveness EFA results
    • Assignment 5 — Due: 5/7/13
      • path.txt
    • Assignment 6 — Due: 5/13/13
      • hsb1
      • hsb2
  • Data Files:
    • MMPI
    • Rlab
    • Cynicism
    • Hypomanic Activation
    • Rathus Assertiveness
  • R Script Files
    •  1/29
  • Mplus Files:
    • Example for reading in input, etc:
      • Mplus Example – input
      • Mplus Example – output
      • Mplus Example – datafile (path.txt)
    • Output from class:
      • Linear Regression
      • Logistic Regression
      • Multinomial Logistic Regression
      • Path Analysis
      • Exploratory Factor Analysis
      • Confirmatory Factor Analysis
      • Structural Equation Modeling
      • HLM:
        • Example from Kreft and de Leeuw, Pg 65: Data
        • Example from Kreft and de Leeuw, Pg 65: Input
        • Example from Kreft and de Leeuw, Pg 65: Output
      • Growth Curve Modeling without predictors
      • Growth Curve Modeling with predictors under Maximum Likelihood
      • Growth Curve Modeling with predictors under WLSMV
  • HLM Program Files:
    • How to use the HLM program (instructions for getting started)
    • Data Files:
      • Level-1: HSB data
      • Level-2: HSB data
    • Output Files:
      • Model 1: Empty model
      • Model 2: Level-1 predictor
      • Model 3: Level-2 predictor
  • Additional Resources
    • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology51, 1173-1182.
    • Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10, 1-9.
    • Edwards, J. R., & Lambert, L. S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods12, 1-22.
    • Kaplan, D. (n.d.). Structural equation modeling.
    • Hox, J. J., & Bechger, T. M. (n.d.). An introduction to structural equation modeling. Family Science Review, 11, 354-373.
    • Goddard, J., & Kirby, A. (1976). An introduction to factor analysis.
    • McCrae, R. R., & John, O. P. (n.d.). An introduction to the five-factor model and its applications.
    • Micerri, T. (1989). The unicorn, the normal curve, and other improbable creatures. Psychological Bulletin, 105, 156-166.
    • Mplus User’s Guide
    • Osborne, J. W. (n.d.). Advantages to hierarchical linear modeling. Practical Assessment, Research, and Evaluation, 7, 1-3.
    • Schreiber, J. B. et al. (2006). Reporting structural equaton modeling and confirmatory factor analysis results: A review. The Journal of Educational Research,99, 323-337.
    • Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Sage Publications: Thousand Oaks.
    • Stage, F. K., Carter, H. C., & Nora, A. (2004). Path Analysis: An introduction and analysis of a decade of research. The Journal of Educational  Research98, 5-12.
    • Wendorf, C. A. (2009). Comparisons of structural equation modeling and hierarchical linear modeling approaches to couples’ data. Structural Equation Modeling, 9, 126-140.

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