Psychology 202b – Advanced Psychological Statistics II

Psychology 202b (Spring 2013) – Advanced Psychological Statistics 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 Psychology, 51, 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 Methods, 12, 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  Research, 98, 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.