Multilevel analysis in health services research: a tutorial.
This article describes a well developed, but not yet widespread, statistical method. It presents its distinguishing characteristic (and pre-empts the misunderstanding that all it is about, is including predictors from more than one level). It walks the reader through a simplified example: how can multilevel analysis be used to explain variances in patient satisfaction with the way hospital work is organized. It also discusses the importance of the disciplinary setting for the extra benefit provided by multilevel analysis, as compared to traditional contextual analysis.
Hofoss
Dag
D
Foundation for Health Services Research, PO Box 55, N-1474 Nordbyhagen, Norway. dhofoss@heltef.no
Veenstra
Marijke
M
Krogstad
Unni
U
D000704:Analysis of Variance; D006302:Health Services Research / Q000706:statistics & numerical data*; D008962:Models, Theoretical; D011897:Random Allocation; D012044:Regression Analysis; D009626:Terminology as Topic