Conducting multilevel analyses in medical education.
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.
Zyphur
Michael J
MJ
Department of Management and Organization, National University of Singapore, Singapore, 105001, Singapore. bizmjz@nus.edu.sg
Kaplan
Seth A
SA
Islam
Gazi
G
Barsky
Adam P
AP
Franklin
Michael S
MS
D004501:Education, Medical / Q000379:methods / Q000592:standards*; D006801:Humans; D016014:Linear Models; D017145:Models, Educational; D015233:Models, Statistical; D009010:Monte Carlo Method; D055361:Multilevel Analysis / Q000379:methods*