Psychology 202b–Advanced Psychological Statistics II

Syllabus
Lecture Notes (updated 1/16/2018)
- Note that this file may change as the semester proceeds so print at your own risk!!
Assignments:
- Assignment 1 — Due: 1/30/18
  - R demonstration with matrices
- Assignment 2 — Due: 2/22/18
  - mmpi data
  - other data sources
- Assignment 3 — Due: 3/8/18 (turn it in by 3/6/18 to get comments back before exam)
  - LogisticData.txt
- Assignment 4 — Due: 4/17/18
  - Cynicism data
  - Hypomanic Activation data
  - Rathus Assertiveness data
- Assignment 5 — Due: 4/24/18
  - subsections of output
- Assignment 6 — Due: 5/10/18
  - hsb1 and also in .txt file format
  - hsb2 and also in .txt file format
  - This might be helpful as an instruction set
  - First file we did in class
  - Second file
  - Third file
Additional R Files:
- Logistic Regression
Data Files:
- MMPI
- Rlab
- Cynicism
- Hypomanic Activation
- Rathus Assertiveness
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.
- 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.