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J. Nezlek (2001)
Multilevel Random Coefficient Analyses of Event- and Interval-Contingent Data in Social and Personality Psychology ResearchPersonality and Social Psychology Bulletin, 27
D. Kenny, C. Judd (1986)
Consequences of violating the independence assumption in analysis of variance.Psychological Bulletin, 99
P. Bliese (2002)
Multilevel random coefficient modeling in organizational research: Examples using SAS and S-PLUS.
J. Hox, E. Leeuw (2003)
Multilevel Models for Meta-Analysis
J. Nezlek, Linda Zyzniewski (1998)
Using hierarchical linear modeling to analyze grouped data.Group Dynamics: Theory, Research, and Practice, 2
D. Hofmann (1997)
An Overview of the Logic and Rationale of Hierarchical Linear ModelsJournal of Management, 23
T. Snijders, R. Bosker (1993)
Standard Errors and Sample Sizes for Two-Level ResearchJournal of Educational Statistics, 18
S. Raudenbush, A. Bryk (1992)
Hierarchical Linear Models: Applications and Data Analysis Methods
G. Guiton, C. Hodgson, Ginette Delandshere, L. Wilkerson (2004)
Communication Skills in Standardized-Patient Assessment of Final-Year Medical Students: A Psychometric StudyAdvances in Health Sciences Education, 9
J. Hox (1995)
Applied Multilevel Analysis.
P. D. Bliese (2002)
Modeling in organizational research: Measuring and analyzing behavior in organizations
K. Klein, S. Kozlowski (2000)
Multilevel Theory, Research, and Methods in Organizations: Foundations, Extensions, and New Directions
S. Reise, N. Duan (2003)
Multilevel Modeling : Methodological Advances, Issues, and Applications
B. Pollack (1998)
Hierarchical linear modeling and the "unit of analysis" problem: A solution for analyzing responses of intact group members.Group Dynamics: Theory, Research, and Practice, 2
A significant body of education literature has begun using multilevel statistical models to examine data that reside at multiple levels of analysis. In order to provide a primer for medical education researchers, the current work gives a brief overview of some issues associated with multilevel statistical modeling. To provide an example of this technique, we then present a multilevel analysis examining the relationship between two individual-level variables and the “cross-level” interaction between this relationship and a school-level variable. In offering this discussion and example of multilevel modeling, we hope to provide medical educators with a basic introduction to multilevel statistics, including the advantages of utilizing these techniques.
Advances in Health Sciences Education – Springer Journals
Published: Oct 12, 2007
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