Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10459-007-9078-y
Title: Conducting multilevel analyses in medical education
Authors: Zyphur, M.J. 
Kaplan, S.A.
Islam, G.
Barsky, A.P.
Franklin, M.S.
Keywords: Hierarchical linear modeling
Multilevel random coefficient modeling
Ordinary least squares
Regression
Statistics
Issue Date: 2008
Citation: Zyphur, M.J., Kaplan, S.A., Islam, G., Barsky, A.P., Franklin, M.S. (2008). Conducting multilevel analyses in medical education. Advances in Health Sciences Education 13 (5) : 571-582. ScholarBank@NUS Repository. https://doi.org/10.1007/s10459-007-9078-y
Abstract: 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. © 2007 Springer Science+Business Media B.V.
Source Title: Advances in Health Sciences Education
URI: http://scholarbank.nus.edu.sg/handle/10635/44623
ISSN: 13824996
DOI: 10.1007/s10459-007-9078-y
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