Syllabus for PSYC 7433: Multivariate Statistical Analysis

```Syllabus for PSYC 7433: Computation of Behavioral Statistics
Texts
 Hayes, A. F. (2013). Introduction to mediation, moderation, and
conditional process analysis. New York, NY: Guilford. ISBN-13:
978-1-60918-230-4.
 Tabachnick, B. G., &amp; Fidell, L. S. (2007). Using multivariate
statistics (5th ed.). Boston: Allyn &amp; Bacon. ISBN-10:
0205459382. ISBN-13: 9780205459384.
Course Objectives
After completing the course the student should be able to
 Choose an appropriate multivariate analysis to address research
questions of interest
 Conduct multivariate analysis with popular statistical software such as
SAS, SPSS, and AMOS.
 Interpret the results of multivariate analysis and present the results as
they would be presented in a scholarly journal.
 Be an informed consumer of research reports in which the results of
multivariate analyses have been presented.
Course Content Outline
I. Multiple Regression Analysis
A. The Basics
B. Nonlinear Models, Polynomial Regression
C. Mediation and Moderation Analysis
D. SAS, SPSS, and Process Hayes
E. Binary Logistic Regression
II. Multidimensional Contingency Table Analysis
A. The Statistical Model
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
III. Canonical Correlation/Regression
A. The Statistical Model
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
IV. Least Squares ANOVA and ANCOV
A. The Statistical Model and Dummy Variable Coding
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
V. Correlated Samples ANOVA
A. The Statistical Model: Univariate-Approach and MultivariateApproach
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
VI. Discriminant Function Analysis
A. Brief Introduction to Bayesian Statistics
B. The Statistical Model
C. Conducting the Analysis with SAS and SPSS
D. Interpreting the Results
E. Presenting the Results
F. Examples from the Published Literature
VII. MANOVA
A. The Statistical Model
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
VIII. Principal Components and Factor Analysis
A. The Statistical Model
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
IX.Path Analysis
A. The Statistical Model
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
X. Structural Equation Modeling
A. The Statistical Model
B. Conducting the Analysis with SAS and AMOS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
XI.Cluster Analysis
A. The Statistical Model
B. Conducting the Analysis with SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
XII. Hierarchical Linear Modeling
A. The Statistical Model
B. Conducting the Analysis with SAS and SPSS
C. Interpreting the Results
D. Presenting the Results
E. Examples from the Published Literature
Students will conduct analyses on data provided by the instructor
and will present the results of those analyses in written and oral research
reports.
Students will complete quizzes and examinations.