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|Title:||Conducting multilevel analyses in medical education||Authors:||Zyphur, M.J.
|Keywords:||Hierarchical linear modeling
Multilevel random coefficient modeling
Ordinary least squares
|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|
|Appears in Collections:||Staff Publications|
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