PSY 202b – Advanced Psychological Statistics II (Spring 2022)

Syllabus

Assignment 1, Due 2/1/22, helpful R file is here

Assignment 2, Due 2/24/22

Assignment 3, Due 3/10/22

Assignment 4, Due 4/19/22

Assignment 5, Due 5/9/22

Mplus Files:

Example for reading in input etc.

• Input
• Output
• Data (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
• Input
• Output

Growth curve modeling without predictors

Growth curve modeling with predictors under ML

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
• Level-2 HSB

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.
Goddard, J., & Kirby, A. (1976). An introduction to factor analysis.
Hox, J. J., & Bechger, T. M. (n.d.). An introduction to structural equation modeling. Family Science Review, 11, 354-373.
Kaplan, D. (n.d.). Structural equation modeling.
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 equation 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.