Jason T. Newsom PhD

Professor, Department of Psychology, Portland State University





Main Page


Current Courses

Categorical Data Analysis

Structural Equation Modeling

Multilevel Regression

Psychological Measurement

Adult Development and Aging


Past Courses

Data Analysis I

Data Analysis II

Stats Notes



SEM References

SEM Books




LDA Book

Department of Psychology







USP 654 Data Analysis II (Fall 2015)

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




Data Sets

Handouts & Overheads

Overhead: Scatterplot Example

Correlation Example: SPSS and R

Levels of Measurement and Choosing the Correct Statistical Test

t-Tests, Chi-squares, 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 Examples: SPSS and R

Review of Chi-square

Chi-square 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



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 Torres-Reyna'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