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