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Syllabus
Readings
Homework
Data Sets
Handouts & Overheads
Why MLR?
Regression
Review
Intercept-Only Model and
Random Effects ANOVA
Distinguishing Between
Random and Fixed: Variables, Effects, and Coefficients
Raudenbush
& Bryk Example Data Set: High
School & Beyond
Early Childhood
Longitudinal Study (ECLS)
Intercept Only
Model Example (Random Effects ANOVA): SPSS, R, and HLM
Overhead:
Sampling Variance and Multilevel Variance
Intraclass Correlation
Coefficient
ANCOVA Example (One
Level-1 Predictor Assuming Homogeneous Slopes): SPSS, R, and HLM
Creating MDM
Files in the HLM Package
Hypothetical Examples of Intercept-Slope Correlations
Random Slopes Example: SPSS, R, and HLM
Plotting Within-Group
Regression Lines: SPSS, R, and HLM
Example R2
Computation
Significance Testing in Multilevel Regression
Examples Illustrating Kenward-Roger Degrees of
Freedom in SPSS and R
Random Effects Likelihood Ratio Test Examples: SPSS,
R, and HLM
Excel Sheet for Mixture Distribution LR Test
(Chi-bar Test)
Centering in Multilevel Regression
Centering Examples: SPSS and R
Overhead: Reintroduced Means and
Compositional Effects
Cross-level Interaction Example:
Predicting Random Slopes
Simple Slope Tests of Cross-level Interactions
Multilevel Regression Estimation Methods for
Continuous Dependent Variables
Some Model Fit Statistics Printed by Multilevel Procedures
Diagnostics for Multilevel Regression
Robust Standard Errors
Mediation with Multilevel Regression
Growth Curve Models
Preparing Data Sets for Growth Curve Analysis
Unconditional Growth Curve Example: SPSS, R,
and HLM
Comparison
of Notation for Growth Curve Models
Plotting Growth Curves: SPSS, R, and HLM
Growth Curve Example with Time-Invariant
Covariate: SPSS, R, and HLM
Growth Curve Example with Time-Varying
Covariate: SPSS, R, and HLM
Notes on Error Structures in Multilevel and
Growth Curve Models
Overhead: Error Structures
Overhead: Individually Varying Time Points
Overhead: Nonlinear and Piecewise Growth Curve
Figures
Quadratic Growth Curve
Example: SPSS, R, and HLM
Logistic Regression
Multilevel Models with Binary and other Noncontinuous
Dependent Variables
Estimation Methods for Non-continuous
Multilevel Regression
Generalized Multilevel Regression Example for
a Binary Outcome: HLM, R, and SPSS
Missing Data in Multilevel Regression
Overhead: Missing data types
Multilevel Multiple Imputation Example: Blimp
and R
Model Building Strategies in Multilevel Regression
Sample Size Issues and Power
Further Readings
Links
Snijders
& Bosker (2012) book site with data sets and software examples
(including Stata, R, & MLwiN)
Digital access for books available through the
PSU library (must be logged in to PSU account): Finch
et al Multilevel Modeling in R, First Ed (CRC), Luke
Multilevel Modeling (Sage), Syntax
files from Heck et al Multilevel and Longitudinal Modeling with IBM SPSS,
Third Ed (Routledge—see “Support Material”)
Paul Bliese's Introduction to Multilevel Regression with R
Paul
Bliese’s Multilevel R package
nmle and lme4 R
package documentation
Miriam
Brinberg’s R Bootcamp Multilevel examples
Mathew Crump’s tutorial
examples on nlme in 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
Software Rental (rent for 3
months)
HLM
Software Examples
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, second edition (A number of good
multilevel resources)
SuperMix software, good for noncontinuous variables
(formerly MIXREG, MIXNO, MIXPREG)(by Don Hedeker
and Robert Gibbons)
Singer's Using SAS Proc
Mixed article
Free Copy of Harvey Goldstein's
Multilevel Book
Optimal
Design Power Software (free)
Blimp
multiple imputation software (free) by Keller & Enders
Multilevel multiple
imputation examples from Craig Ender’s Applied Missing Data Analysis
second edition
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