Using Multilevel Analysis in Patient and Organizational Outcomes Research
作者:
Sung-Hyun Cho,
期刊:
Nursing Research
(OVID Available online 2003)
卷期:
Volume 52,
issue 1
页码: 61-65
ISSN:0029-6562
年代: 2003
出版商: OVID
关键词: hierarchical model;multilevel analysis;outcomes research
数据来源: OVID
摘要:
BackgroundOutcomes research often compares patient and organizational outcomes across institutions, dealing with variables measured at different hierarchical levels. A traditional approach to analyzing multilevel data has been to aggregate individual-level variables at the institutional level.ObjectivesTo introduce the conceptual and statistical background of multilevel analysis and provide an example of multilevel analysis that was used to examine the relationship between nurse staffing and patient outcome.MethodsA two-level model was presented employing multilevel logistic regression analysis.ResultsOutputs from multilevel analysis were interpreted. Other statistics were presented for model specification and testing.ConclusionResearchers should consider multilevel modeling at the study design stage to select theoretically and statistically sound research methods.
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