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.
Key wordsmedical education educational research statistics faculty development
- 1.Liaison Committee on Medical Education. Available at http://www.lcme.org. Accessed December 1, 2005.Google Scholar
- 2.Accreditation Council for Graduate Medical Education Outcome Project. General Competencies: minimum program requirements language. Available at http://www.acgme.org/outcome/comp/comp-Min.asp. Accessed December 1, 2005.Google Scholar
- 10.Riegelman RK. Studying a Study and Testing a Test. How to Read the Medical Evidence. 4. Philadelphia: Lippincott Williams & Wilkins; 2000.Google Scholar
- 11.Hulley SB, Cummings SR, Browner WS, Grady D, Hearst N, Newman TB. Designing Clinical Research. 2. Philadelphia: Lippincott Williams & Wilkins; 2001.Google Scholar
- 12.Siegel S, Castellan Jr. NJ. Nonparametric Statistics for the Behavioral Sciences. 2. Boston: McGraw-Hill; 1988.Google Scholar