Note:
USP 654 is now taught by Liming Wang.
My Winter 2018 course, Psy 522/622 Multivariate
Statistics, will cover many of the same topics
Syllabus
Readings
Homework
Data Sets
Handouts & Overheads
Overhead: Scatterplot Example
Correlation Example: SPSS and R
Levels of
Measurement and Choosing the Correct Statistical Test
tTests,
Chisquares, Phi, Correlations: Its all the same stuff
Overhead: Simple Regression Variance
Partitioning
Simple Regression Example: SPSS and R, Extra
R Code
Overhead: Regression Plane
Overhead: Venn Diagram for
Multiple Regression
Multiple Regression Example: SPSS and R
Hierarchical Regression Example: SPSS and
R
Hierarchical Table Example I Like
Model Building Procedures
Overhead: Partial and Semipartial Correlation
Partial and Semipartial Correlation Example
Coding of Categorical Predictors and ANCOVA
Creating Coding Variables for Four Categories
Equivalence of ANOVA and Regression:
SPSS and R, Extra R Code
Overhead: Diagnostic Plots
Darlington Suppression Example
Summary of Regression Diagnostics and Cutoffs
SPSS Regression Diagnostics Example (with tweaked data)
Regression Diagnostic Examples with R
Remedies for Assumption Violations and
Multicollinearity
Curvilinear Regression Example: SPSS and R
Regression Moderation Examples: SPSS and R
Mediation
Mediation Examples: SPSS and R
Review of Chisquare
Chisquare Example: SPSS and R
Logistic Regression
Simple Logistic
Regression Using Continuous Predictor: SPSS and R
Computing the Odds Ratio from Cell Frequencies
Simple Logistic Regression
with a Dichotomous Predictor: SPSS and R
Multiple Logistic Regression and Model
Fit
Multiple Logistic Regression
Example: SPSS and R
Link Functions and the Generalized Linear Model
Regression Models for Ordinal Dependent Variables
Ordinal Logit and Probit Examples: SPSS and
R
Regression Models for Count Data
Further Readings
Links
Jason's SPSS Macros for
Interactions and Simple effects
UCLA's statistical
computing site on SPSS
UCLA's
statistical computing site on regression with SPSS
Dave MacKinnon's
site on mediation
David Kenny's site (click on
"mediation")
Automatic calculator for
calculating significance of indirect effects
(compliments of Preacher & Leonardelli at KU
and U of Toronto)
R at the UCLA Idre
site
David Gerbing's lessR manual
David Gerbing's lessR site
Oscar
TorresReyna's Regression with R tutorial
Brief
summary of some R regression related functions
Bootstrap
Macros for calculating significance of indirect effects
(compliments of Hayes and Preacher at Ohio State & KU)
Carl Falk's
mediation page (with R code links)
Mediation
package for R
R
for SAS and SPSS Users by Rob Muenchen
