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Mixed and Multilevel Models Resources

Books


SAS for Mixed Models, Second Edition
by Ramon Littell, George Miliken, Walter Stroup, Russell Wolfinger, & Oliver Schabenberger

This is a pretty technical book, and is not for the statistically feeble.  But if you’re doing mixed models, you’re not statistically feeble.  That said, if you are doing Mixed Modeling in SAS, it’s a must-have book.  Back in the Cornell Statistical Consulting office, we actually wore out the book.

Quantitative Methods in Population Health: Extensions of Ordinary Regression
by Mari Palta

 



Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
by Judith D. Singer & John B. Willett

Multilevel Analysis for Applied Research: It's Just Regression! (Methodology In The Social Sciences)
by
Robert Bickel PhD

 

Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling
by Professor Tom A.B. Snijders and Professor Roel Bosker

 

Linear Mixed Models: A Practical Guide Using Statistical Software
by
Brady West, Kathleen B. Welch and Andrzej T Galecki

Articles at The Analysis Factor

Specifying Fixed and Random Factors in Mixed or Multilevel Models

Multilevel Models with Crossed Random Effects 

Five Advantages of Running Repeated Measures ANOVA as a Mixed Model

Journal Articles

This articles uses SAS, but the ATS group at UCLA has on their web site papers that go through the examples in HLM, MLwiN, Stata, SPSS, and SPLUS.

Web Sources

http://psych.unl.edu/hoffman/HomePage.htm:

Dr. Lesa Hoffman, of the University of Nebraska, has put on her website her entire lecture slides and podcasts for all her classes and workshops, including:

It includes MPlus, SAS, and SPSS examples.

 

 

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