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Four Common Pitfalls of Quantitative Analysis in Experimental Research
- Source :
- Academic Medicine. 91:891
- Publication Year :
- 2016
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2016.
-
Abstract
- A recently published AM Last Page presents five common methodological pitfalls of experimental research in medical education. In this Last Page, we present four statistical pitfalls and their more appropriate alternatives. Pitfalls are illustrated with a case of a fictitious researcher who conducts a study with elements that are common in many medical education experiments.
- Subjects :
- 030207 dermatology & venereal diseases
03 medical and health sciences
0302 clinical medicine
020205 medical informatics
Quantitative analysis (finance)
Computer science
0202 electrical engineering, electronic engineering, information engineering
02 engineering and technology
General Medicine
150 Psychology
Data science
Experimental research
Education
Subjects
Details
- ISSN :
- 10402446
- Volume :
- 91
- Database :
- OpenAIRE
- Journal :
- Academic Medicine
- Accession number :
- edsair.doi.dedup.....402527773075c84951c29928c3150831
- Full Text :
- https://doi.org/10.1097/acm.0000000000000946