Note that this file may change as the semester proceeds so print at your own risk!!
Assignments:
Assignment 1 — Due: 1/31/2017
R demonstration with matrices
Assignment 2 — Due: 2/23/17
mmpi data
other data sources
Assignment 3 — Due: 3/9/17
LogisticData.txt
Assignment 4 — Due: 4/18/17
Cynicism data
Hypomanic Activation data
Rathus Assertiveness data
Assignment 5 — Due: 4/27/17
path.txt
Assignment 6 — Due: 5/9/17
hsb1 and also in .txt file format
hsb2 and also in .txt file format
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.
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.
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.