Fundamentals of Multivariate Modeling, Fall 2013 (UNL)

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Fall 2013 Psychology 943

InstructorJonathan Templin
Office:220 Burnett Hall
Office Hours:Th 11-1 in 230 Burnett Hall

Course Materials

Syllabus:Syllabus (Updated 8/26/2013)
Holland Computing Center (HCC) DocumentationUsing SAS on Tusker
Using Mplus on Tusker
Video: Requesting an Account
Video: Connecting to Tusker
Using Tusker
SSH Program
Course Facebook Page:
Helpful SAS InformationSAS Information Document
Lesa Hoffman's SAS Course
Project Descriptionmv13psyc943_project.pdf

Tentative Schedule of  Course Topics

WeekDateTopic Post (Includes Slides, Syntax, and Data Files)Lecture Video FilesReadings
18/28/2013Introduction and Overview; Review of the General Linear Model; Descriptions of Variance; Discussion of SASLecture 1a
Lecture 1b
Lecture 1c
Maxwell & Delaney (2004) Appendix B
Homework #1: Due Friday 9/6 at 12:00pm
29/4/2013Simple, Marginal, and Interaction Effects in GLMs (Introduction to PROC GLM)Lecture 2a
Lecture 2b
Lecture 2c
Hoffman (in preparation), ch. 2
Homework #2: Due Friday 9/13 at 12:00pm
39/11/2013Univariate Normal Distribution, GLM in Univariate Normal, Least Squares EstimationLecture 3a
Lecture 3b
Kutner et al. (2005),
ch. 1, Appendix A;
Homework #3: Due Friday 9/20 at 12:00pm
49/18/2013Introduction to Maximum Likelihood (PSYC 943, Fall 2013)Lecture 4a
Lecture 4b
Lecture 4c
Lecture 4d
Enders (2010), ch. 3
No Homework this Week
59/24/2013Office Hours 11-1pm in 230 Burnett
(change from Thursday)
9/25/2013Matrix Algebra and PROC IML; Mean Vectors, Covariance Matrices, and the Multivariate Normal DistributionLecture 5a
Lecture 5b
Lecture 5c
Johnson & Wichern (2002), chs. 2, 3. & 4
Homework #4: Due Friday 10/4 at 12:00pm
610/2/2013Maximum Likelihood for Multivariate Outcomes (SAS PROC MIXED); Empty Multivariate ModelsLecture 6a
Lecture 6b
Lecture 6c
Homework #5: Due Friday 10/11 at 12:00pm
710/9/2013Introduction to Path Analysis (part 1); Adding Predictors to Multivariate ModelsLecture 7a
Lecture 7b
Lecture 7c
Kline (2005), chs. 5 & 6
Homework #6: Due Friday 10/18 at 12:00pm
810/15/2013Office Hours 11-1pm in 230 Burnett
(change from Thursday)
Wright (1998)
10/16/2013Multivariate Models with Predictors -and- How Mixed Models Can Give MANOVA-like StatisticsLecture 8a
Lecture 8b
Lecture 8c
910/23/2013Examples of Multivariate Regression and Difference Score ModelsLecture 9a
Lecture 9b
Lecture 9c
Homework #7: Due Friday 11/1 at 12:00pm
1010/30/2013Path Analysis, Revisited Lecture 10a
Lecture 10b
Lecture 10c
10/31/2013Office Hours: 12:30-2:30pm in Room 230 (note time change)
11/5/2013Office Hours 11-1pm in 230 Burnett
(change from Thursday)
1111/6/2013Fun with MediationLecture 11a
Lecture 11b
MacKinnon (2008),
ch. 6
11/8/2013Project Part 1 Due

Project Instructions Sheet
11/12/2013Office Hours 11-1pm in 230 Burnett
(change from Thursday)
1211/13/2013Introduction to Bayesian and MCMC EstimationLecture 12aEnders (2010), ch. 6
1311/20/2013Missing Data: Maximum Likelihood and Multiple ImputationLecture 13a
Lecture 13b
Enders (2010),
chs. 4, 7, 8, 9
11/22/2013Project Part 2 Due

1411/27/2017NO CLASS (Thanksgiving Break)
1512/4/2013Power Analysis: Simulation and Computational ApproachesLecture 14a
Lecture 14b
Maxwell, Kelley, & Rausch (2008)
12/6/2013Project Part 3 Due (full project)

12/9/2013Graded Projects Returned

1612/11/2013Principal Components Analysis and Exploratory Factor Analysis from a Mixed Models PerspectiveLecture 15a
Lecture 15b
Lecture 15c
Johnson & Wichern (2002), ch. 8, 9
1712/18/2013Revisions to Project Due



Enders, C. K. (2010). Applied missing data analysis.  New York, NY: Guilford.

Hoffman, L. (in preparation). Longitudinal analysis: Modeling within-person fluctuation and change. New York, NY: Routledge Academic.

Johnson, R. A. & Wichern, D. W. (2002). Applied multivariate statistical analysis (5th Ed.). Upper Saddle River, N.J.: Prentice-Hall.

Kline, R. B. (2002). Principles and practice of structural equation modeling (2nd Ed.). New York, NY: Guilford.

Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). Applied linear statistical models (5th Ed.). New York, NY: McGraw-Hill.

MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York, NY: Routledge Academic.

Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data. Mahwah, NJ: Erlbaum.


Maxwell, S. E., Kelley, K., & Rausch, J. R. (2008). Sample size planning for statistical power and accuracy in parameter estimation. Annual Review of Psychology, 59, 537-563.

Wright, S. P. (1998). Multivariate analysis using the mixed procedure. Proceedings of the Twenty-Third Annual SAS Users Group International Conference, paper 229. Retrieved from