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 2009
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
Overhead: Limitations of
correlation
Overhead: correlation and t-test of two groups
illustration
Simple Regression hand
computation and SPSS example
Simultaneous Multiple
Regression SPSS Example
Hierarchical Multiple
Regression SPSS Example
Overhead: Example of regression plane in multiple
regression
Overhead: Multiple hierarchical regression Venn diagram
Overhead: Hierarchical table example (not my ideal)
Overhead: Partial and semipartial correlations
Partial and Semipartial
Correlation Example
ANOVA and Regression
Equivalence: Gender and Depression SPSS Example
Coding of Categorical
Predictors and ANCOVA
Creating Coding Variables for
Four Categories
Regression Diagnostics Example
Remedies for Assumption
Violations and Multicollinearity
Overheads: Graphic approaches to diagnosing assumption
violations
Overhead: Multicollinearity (CCWA 2003 table)
Overheads: Curvilinearity and Interactions
Curvilinear Regression: SPSS
Example
Regression Moderation: SPSS
Example
Testing Mediation with
Regression Analysis: SPSS Example
Introduction to Logistic
Regression
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
Further Readings on Regression
Analysis
SPSS Computer Lab
Handouts and data, lab instructor: Mike McCarthy
http://sites.google.com/site/mjmccarthysite/
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)