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Hierarchical Linear Modeling
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Hierarchical Linear Modeling
Guide and Applications

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April 2012 | 392 pages | SAGE Publications, Inc

Hierarchical Linear Modeling provides a brief, easy-to-read guide to implementing hierarchical linear modeling using three leading software platforms, followed by a set of original "how-to" application articles following a standardized instructional format. The Guide portion consists of five chapters that provide an overview of HLM, discussion of methodological assumptions, and parallel worked model examples in SPSS, SAS, and HLM software. The Applications portion consists of ten contributions in which authors provide step-by-step presentations of how HLM is implemented and reported for introductory to intermediate applications.

"The book covers the three most widely accessible statistical programs for multilevel modeling rather than just focusing on one. . . . 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

"The intelligent use of the examples helps explain both the conceptual framework of HLM and its basic individual applications."—Luis L. Cabo, Mercyhurst College


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

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

too advanced for the undergraduate course I taught

Mrs Megan Pollock
Sch Of Professional Psychology, Alliant International University - Fresno
October 5, 2013

Recommends to graduate students who need to learn about nested designs.

Dr Marie-Claude Jipguep
Sociology Anthropology Dept, Howard University
February 27, 2013

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
Key features

Key Features

  • The brief guide to hierarchical linear modeling (multilevel modeling), is followed by a set of application articles based on recent articles in leading journals and recent doctoral dessertations
  • The "guide" portion focuses on all three leading software platforms used in linear modeling: SPSS, SAS, and HLM.
  • The "applications" portion consists of a dozen contributions in which the authors substantially revise prior published and dissertation work to emphasize how-to and methodological aspects as well as modeling how-to-write-up aspects in addition to a deemphasis on field-specific details.

Sample Materials & Chapters

TOC

ch 1

ch 3


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