Jason
Newsom's
USP
654 Data Analysis II
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Description
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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. |
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Fall
2011 Syllabus
Click
here
for the class syllabus, reading list, and my contact information.
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Supplemental
Readings
Click
here to
download readings in a zip file (9.1mb).
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Current
Homework
Get
a copy of the current homework.
Download homework
articles in
a zip file.
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Homework
Data Sets
Get the data you need here.
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Exam Reviews
Final
exam review sheet
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Handouts
and Overheads
(sorry,
not available until it has been covered in class, not all overheads included)
Correlation:
Hand Computation and SPSS Example
Overhead:
Correlation Problems
Simple
Regression: Hand Computation and SPSS Example
Multiple
Regression: SPSS Example
Hierarchical
Multiple Regression: SPSS Example
Partial and Semipartial Correlation
Overhead:
Venn Diagram for Multiple Regression
Darlington
Suppression Example
Overhead:
Visual Inspection of Regression Assumption Violations
Regression
Diagnostics Example
Remedies for
Assumption Violations and Multicollinearity
Curvilinear
Regression: SPSS Example
Regression
Moderation: SPSS Examples
Mediation:
Testing Indirect Effects with Regression
Indirect
Effects: SPSS Example
Simple
Logistic Regression with Binary Predictor: SPSS Example
Simple
Logistic Regression with Continuous Predictor: SPSS Example
Fit
of Multiple Logistic Models
Multiple
Logistic Regression: SPSS Example
Link Functions and the
Generalized Linear Model
Regression Models
for Ordinal Dependent Variables
Ordinal Logit and Probit: SPSS and SAS
Examples
Regression Models for
Count Data: SPSS Examples
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SPSS
Computer Lab
Handouts
and data, lab instructor: Kihong Kim
https://sites.google.com/site/uspda2lab/
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Stats
Notes
Over 20 "Web
lectures" on introductory graduate statistics
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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)