Korean J Med Educ.
2013 Sep;25(3):189-199.
Analysis of characteristics shown in self introduction letter and professor's recommendation letter
- Affiliations
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- 1Department of Microbiology, Kangwon National University School of Medicine, Chuncheon, Korea. sanghyun@kangwon.ac.kr
Abstract
- PURPOSE
The purpose of this study was to investigate applicants' behavioral characteristics based on the evaluation of cognitive, affective and social domain shown in self introduction letter and professor's recommendation letter.
METHODS
Self introduction letters and professor's recommendation letters of 109 applicants students who applied to medical school were collected. Frequency analysis and simple correlation were done in self introduction letter and professor's recommendation letter.
RESULTS
Frequency analysis showed affective characteristics were most often mentioned in self introduction letter, and cognitive characteristics were most frequently described in professor's recommendation letter. There was a strong correlation between cognitive domains of self introduction letter and cognitive domain of professor's recommendation letter. There was a strong correlation between affective domain of self introduction letter and cognitive domain professor's recommendation letter.
CONCLUSION
It is very important to make full use of self introduction letter and professor's recommendation letter for selecting medical students. Through the frequency analysis and simple correlation, more specific guidelines need to be suggested in order to secure fairness and objectivity in the evaluation of self-introduction letter and professor's recommendation letter.