Jason
Newsom's
USP 656 Advanced Data Analysis:
Multilevel Regression

Description
This
course is intended to introduce students to multilevel regression techniques
(also known as hierarchical linear models or random coefficient models) and
will cover the fundamental concepts and application of the techniques. By the
end of the course, students should be able to apply, write about, critique
applications of, and read methodological articles about multilevel regression
analysis. 

Winter 2016 Syllabus
Class
syllabus, reading list, and my contact information.

Supplemental
Readings
Readings (zip
folder) and
some optional
readings (zip folder)

Current
Homework
Get
a copy of the current homework
and link to the data sets.

Homework
Data Sets
Homework
and some class example data
sets

Overheads
and Handouts
Handouts
I've discussed in class and some of the overheads presented in class (pdf
unless otherwise noted).
Multilevel
Regression Equations
Distinguishing
Between Random and Fixed: Variables, Effects, and Coefficients
Overheads:
BetweenGroup
Variance, WithinGroup
Variance
Raudenbush & Bryk Example
Data Set: High School & Beyond
Intercept
Only Model Example (Random Effects ANOVA): SPSS, R, HLM
ANCOVA
Example (One Level1 Predictor): SPSS, R, HLM
Artificial Intraclass Correlation Coefficient Example
Plotting
WithinGroup Regression Lines: SPSS, R, HLM
Overhead:
Illustrations of InterceptSlope Correlations
Significance
Testing in Multilevel Regression
Random
Effects Test Examples: SPSS, R, HLM
Crosslevel
Interaction Example (Predicting Random Slopes)
Simple
Slope Tests of Crosslevel Interactions
Centering in
Multilevel Regression
Centering
Examples: SPSS and R
Overhead:
Centering
and Within, Between, and Compositional Effects
Estimation
Methods in Multilevel Regression for Continuous Dependent Variables
Clarification
of Notation for Growth Curve Models
Preparing
Data Sets for Growth Curve Analysis
Unconditional
Growth Curve Examples: SPSS, R, HLM
TimeInvariant
Growth Curve Examples: SPSS, R, HLM
TimeVarying
Covariate Growth Curve Examples: SPSS, R, HLM
Quadratic
Growth Curve Examples: SPSS, R, HLM
Plotting
Growth Curves: SPSS, R, HLM
Overhead:
Piecewise
Growth Curves
Notes
on Error Structures in Multilevel and Growth Curve Models
Multilevel
Models with Binary and other Noncontinuous Dependent
Variables
Generalized
Multilevel Regression Example for a Binary Outcome
Summary
of Binary Estimation Options
Missing Data
in Multilevel Regression
Further
Reading on Multilevel Regression

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

Links
Snijders
& Bosker (2012) book site with data sets and
software examples (including Stata, R, & MLwiN)
Paul Bliese's Introduction to Multilevel Regression with R
Hox
(first edition) computer examples at UCLA statistical computing site
(includes HLM, MLWin, SAS, Stata & R examples)
UCLA site examples for other
multilevel texts (see Multilevel Modeling)
UCLA
SPSS casestovars and varstocases examples
Singer & Willet's Applied
Longitudinal Data Analysis Book
Growth curve examples
from the Singer & Willet text (includes SPSS as well as SAS, HLM, MLWin, State, SPlus, Mplus)
HLM 7 Student Version (for
the full version and other information, see the HLM main menu at SSI)
HLM Software Rental
(rent for 6 months or a year)
Join
the multilevel modeling list
A multilevel regression model site at
University of Bristol. Information on
software, papers, FAQs etc.
Data sets for Joop Hox's text, seond edition (A number of good
multilevel resources)
Free multilevel regression
software: MIXREG, MIXNO, MIXPREG (by Don Hedeker
and Robert Gibbons)
Singer's
Using SAS Proc Mixed article
Bristol Center for Multilevel
Modeling (online learning modules and many useful resources)
Free
Copy of Harvey
Goldstein's Multilevel Book
Optimal Design Power Software (free)
