East Carolina University
Department of Psychology
Syllabus for PSYC 7431: Design and Analysis
I. Review and Elaboration of Material Covered in PSYC 6430
A. Three-way independent samples ANOVA
B. Repeated Measures ANOVA
C. Anything else not completed in the most recently taught section of PSYC 6430
II. Nonparametric and Resampling Statistics
A. Wilcoxon's rank-sum test
B. Wilcoxon's signed-ranks test
C. Kruskal-Wallis ANOVA on ranks
D. Friedman's rank test on correlated samples
E. Bootstrapping
F. Permutation/Randomization tests
III. Introductory Overview of General Multivariate Model
A. Uses of multivariate techniques
B. Matrices used in multivariate procedures
IV. Introductory Preview of Specific Multivariate Techniques
A. Categorical data analysis: Log-linear models
B. Canonical correlation/regression
C. Principal components and factor analysis
D. Multiple correlation/regression
E. Path analysis
F. Discriminant function analysis
G. MANOVA
H. Logistic regression
I. Least squares ANOVA and analysis of covariance
J. Multivariate approach to repeated measures ANOVA
V. Preliminary Data Screening
A. Missing data
B. Outliers
C. Normality assumptions
D. Homoscedasticity
E. Multicollinearity
F. Data transformations
VI. Multiple Regression in Detail
A. Curvilinear regression
B. Two-predictor regression
C. Multiple R2 and partial regression coefficients
D. Redundancy and suppression
E. Matrix algebra and multiple regression
F. Regression diagnostics
G. Stepwise multiple regression
H. Dummy variables in multiple regression
I. ANCOV and tests for coincidence, equal slopes, and equal intercepts
J. Logistic regression
VII. Other Multivariate Techniques in Detail
A. Poll the class to determine interest in specific techniques
B. Cover as many of those techniques as we can
C. Those not covered in PSYC 7431 will be covered in PSYC 6433
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7431 Base Page
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Dr. Karl L. Wuensch
This page most recently revised on 6. January 2007.