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Hierarchical Linear Modeling
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Hierarchical Linear Modeling
Guide and Applications

Edited by:
May 2012 | 392 pages | SAGE Publications, Inc
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This book provides a brief, easy-to-read guide to implementing hierarchical linear modelling using the three leading software platforms, followed by a set of application articles based on recent work published in leading journals and as part of doctoral dissertations. The "guide" portion consists of three chapters by the editor, covering basic to intermediate use of SPSS, SAS, and HLM for purposes for hierarchical linear modelling, while the "applications" portion consists of a dozen contributions in which the authors emphasize how-to and methodological aspects and show how they have used these techniques in practice.
G. David Garson
Chapter 1. Fundamentals of Hierarchical Linear (Multilevel) Modeling
G. David Garson
Chapter 2. Preparing to Analyze Multilevel Data
G. David Garson
Chapter 3. Introductory Guide to HLM with HLM6 Software
G. David Garson
Chapter 4. Introductory Guide to HLM with SAS Software
G. David Garson
Chapter 5. Introductory Guide to HLM with SPSS Software
Forrest C. Lane, Kim F. Nimon & J. Kyle Roberts
Chapter 6. A Random Intercepts Model of GPA and SAT Scores Using SPSS
Carissa L. Shafto & Jill L. Adelson
Chapter 7. A Random Intercept Regression Model Using HLM: Cohort Analysis of a Mathematics Curriculum for Mathematically Promising Students
Gregory J. Palardy
Chapter 8. A Random Coefficients Model Using HLM: Studying the Achievement Gap in Schools
Shevaun Neupert
Chapter 9. Emotional Reactivity to Daily Stressors Using a Random Coefficients Model with SAS Proc Mixed
David F. Greenberg & Julie A. Phillips
Chapter 10. Hierarchical Linear Modeling of Growth Curve Trajectories Using HLM
Jaime Lynn Maerten-Rivera
Chapter 11. A Piecewise Growth Model Using HLM to Examine Change in Teaching Practices Following a Science Teacher Professional Development Intervention
Maike Luhmann & Michael Eid
Chapter 12. Studying Reaction to Repeated Life Events with Discontinuous Change Models Using HLM
Brian F. Patterson
Chapter 13. A Cross-Classified Multilevel Model for First-Year College Natural Science Performance Using SAS
George Leckie
Chapter 14. Cross-Classified Multilevel Models Using STATA: How Important Are Schools and Neighborhoods for Children's Educational Attainment?
Larry J. Brant & Shan L. Sheng
Chapter 15. Predicting Future Events from Longitudinal Data with Multivariate Hierarchical Models Using SAS

"The book covers the three most widely accessible statistical programs for multilevel modeling rather than just focusing on one. It will be an excellent tool for researchers who are beginning to learn multilevel modeling as well as a great resource for experienced researchers who want to learn a different statistical program for multilevel models.”

Debbie L. Hahs-Vaughn
University of Central Florida

“This books covers the usage and outputs of the three main statistical packages for the application of HLM, and the intelligent use of the examples help explain both the conceptual framework of HLM and its basic individual applications.”

Luis L. Cabo
Mercyhurst College

I enjoyed the book but the examples were beyond most of my students capabilities. I will consider this for a future more advanced course.

Dr Melinda Higgins
Nell H Woodruff Sch Of Nursing, Emory University
January 17, 2015
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The text is well written and comprehensive. My students found the textbook to be accessible and the descriptions full and useful.

Professor Bruno Zumbo
Educational and Counseling Psychology, Barber Learning Centre
May 30, 2014
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too advanced for the undergraduate course I taught

Mrs Megan Pollock
Sch Of Professional Psychology, Alliant International University - Fresno
October 5, 2013
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Recommends to graduate students who need to learn about nested designs.

Dr Marie-Claude Jipguep
Sociology Anthropology Dept, Howard University
February 27, 2013
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Won't work as a text for an HLM course at the MS level.

Dr Michael Biderman
Psychology , University of Tennessee at Chattanooga
August 20, 2012
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