Jason
Newsom’s
USP 554/654 Data Analysis II
Description
|
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 554/654L) must be taken concurrently. Recommended prerequisite: USP 534/634 Data
Analysis or an equivalent course approved by the instructor and prior
experience with statistical software. All download files pdf unless otherwise noted. |
Fall 2008 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
in a zip file.
Homework Data Sets
Get the data you need here
Exam Reviews
Handouts and Overheads
(sorry, not available until it has been covered in
class, not all overheads included)
Correlation Hand Computation
and SPSS Example
Simple Regression Hand
Computation and SPSS Example
Simultaneous Regression SPSS
Example
Hierarchical Regression SPSS
Example
Coding of Categorical
Predictors and ANCOVA
ANOVA and Regression
Equivalence: Gender and Depression SPSS
Example
Creating Coding Variables for
Four Categories
SPSS Suppression Example: Darlington Food Intake Data
Regression Diagnostic SPSS
Example
Remedies for Assumption
Violations and Multicollinearity
Curvilinear Regression SPSS
Example
Regression Moderation SPSS Example
Testing Mediation with
Regression Analysis
Testing Mediation with
Regression Analysis SPSS Example
Simple Logistic Regression
with a Dichotomous Predictor SPSS Example
Simple Logistic Regression
Using Continuous Predictor SPSS Example
More on Model Fit and
Significance of Predictors with Logistic Regression
Link Functions and Probit Analysis
Stats Notes
Over 20 “Web lectures” on
introductory graduate statistics
Links
Jason’s list of statistics links
Jason’s SPSS Macros for Interactions and Simple
effects
David Garson’s site on
regression in public administration
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)