A clinician-educator's roadmap to choosing and interpreting statistical tests.
As educators seek confirmation of successful trainee achievement, medical education must move toward a more evidence-based approach to teaching and evaluation. Although medical training often provides physicians with a general background in biostatistics, many are not prepared to apply these skills. This can hinder clinician educators as they wish to develop, analyze and disseminate their scholarly work. This paper is intended to be a concise educational tool and guide for choosing and interpreting statistical tests aimed toward medical education assessment. It includes guidelines and examples that clinician-educators can use when analyzing and interpreting studies and when writing methods and results sections of reports.
Windish
Donna M
DM
Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA. donna.windish@yale.edu
Diener-West
Marie
M
D004501:Education, Medical; D006801:Humans; D015588:Observer Variation; D013223:Statistics as Topic / Q000592:standards*