Jason's Main Page

Data Analysis I

Data Analysis II

SEM Class

MLR Class

Stats Notes


Statistical Links

Jason Newsom's
USP 654 Data Analysis II




This course takes an applied approach to statistical analysis and research methodology and is the second in a two-course sequence. The goal is to provide students with statistical background, conceptual understanding, technical writing skills, computer application, and the ability to apply these skills to realistic data analysis problems and research designs. Topics include simple regression and correlation, multiple regression, and logistic regression. The laboratory (USP 654L) must be taken concurrently. Recommended prerequisite: USP 634 Data Analysis or an equivalent course approved by the instructor and prior experience with statistical software.

All download files pdf unless otherwise noted.



Fall 2014 Syllabus
Click here for the class syllabus, reading list, and my contact information.



Supplemental Readings
Click here to download readings in a zip file (9.1mb).



Current Homework
Get a copy of the current homework. Download homework articles.



Homework Data Sets
Get the data you need here.



Exam Reviews
Final exam review sheet



Handouts and Overheads
(sorry, not available until it has been covered in class, not all overheads included)


Simple Regression

Overhead: Years Since PhD and Publications Scatterplot

Overhead: Exam and Time Scatterplot

Overhead: Correlation Limitations

Overhead: Simple Regression

Simultaneous Regression: SPSS Example

Hierarchical Regression: SPSS Example

Model Building Procedures

Overhead: Good Hierarchical Table Example

Overhead: Multiple Regression Venn Diagram

Overhead: Partial and Semi-partial Correlation

Partial and Semi-partial Correlation Example

Overhead: Suppression Illustration

Suppression: SPSS Example

Coding of Categorical Predictors and ANCOVA

Creating Indicator Variables for Four Categories

ANOVA and Regression Equivalence: Gender and Depression SPSS Example

Diagnostics Example

Diagnostics Cutoff Table

Remedies for Assumption Violations

Overhead: Diagnostic Plots

Curvilinear SPSS Example

Moderation Example


Mediation Example

Mediation Write-up Example


Chi-square example

Logistic Regression

Simple Logistic Example with Binary Predictor

Odds Ratio Computation

Simple Logistic Example with Continuous Predictor

Logistic Model Fit

Multiple Logistic Example

Link Functions and the Generalized Linear Model

Regression Models for Ordinal Dependent Variables

Ordinal Logit and Probit Examples

Regression Models for Count Data

Further Readings



SPSS Computer Lab
Handouts and data, lab instructor: Peter Geissert



Stats Notes
Over 20 "Web lectures" on introductory graduate statistics




Jason's list of statistics 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)

Bootstrap Macros for calculating significance of indirect effects
(compliments of Hayes and Preacher at Ohio State & KU)