scholarly journals Does emotional intelligence influence success during medical school admissions and program matriculation?: a systematic review

2016 ◽  
Vol 13 ◽  
pp. 40 ◽  
Author(s):  
Christian Jaeger Cook ◽  
Chad E. Cook ◽  
Tiffany N. Hilton
Keyword(s):  
Emotional Intelligence ◽  
Medical School ◽  
Data Extraction ◽  
Medical School Admission ◽  
Medical School Admissions ◽  
Grade Point ◽  
School Admission Criteria ◽  
Reported Data ◽  
Intelligence Scores ◽  
Relationship Of

Purpose: It aimed at determining whether emotional intelligence is a predictor for success in a medical school program and whether the emotional intelligence construct correlated with other markers for admission into medical school. Methods: Three databases (PubMed, CINAHL, and ERIC) were searched up to and including July 2016, using relevant terms. Studies written in English were selected if they included emotional intelligence as a predictor for success in medical school, markers of success such as examination scores and grade point average and association with success defined through traditional medical school admission criteria and failures, and details about the sample. Data extraction included the study authors and year, population description, emotional intelligence I tool, outcome variables, and results. Associations between emotional intelligence scores and reported data were extracted and recorded. Results: Six manuscripts were included. Overall, study quality was high. Four of the manuscripts examined emotional intelligence as a predictor for success while in medical school. Three of these four studies supported a weak positive relationship between emotional intelligence scores and success during matriculation. Two of manuscripts examined the relationship of emotional intelligence to medical school admissions. There were no significant relevant correlations between emotional intelligence and medical school admission selection. Conclusion: Emotional intelligence was correlated with some, but not all, measures of success during medical school matriculation and none of the measures associated with medical school admissions. Variability in success measures across studies likely explains the variable findings.

Medical School Admission and Residence of Applicants: Empirical Bayes Estimates of Logit Coffficients

1979 ◽  
Vol 4 (4) ◽  
pp. 291-323 ◽  
Author(s):  
John E. Rolph ◽  
Albert P. Williams ◽  
Carolyn L. Lee
Keyword(s):  
Medical School ◽  
Empirical Bayes ◽  
The State ◽  
Grade Point Averages ◽  
Medical School Admission ◽  
Grade Point ◽  
Bayes Methods ◽  
Empirical Bayes Methods ◽  
Admission Test ◽  
Using Data

Using data on all applicants to U.S. medical schools in 1975, we analyzed how an applicant’s characteristics affect the probability of his admission to medical school. Specifically, separate logit regressions for minority and majority applicants are performed to estimate this probability as a function of the applicant’s academic attributes (admission test scores, grade point averages, etc.) and of his non-academic attributes (state of residence, age, etc.). The coefficients of the state of residence dummy variables in the logit equation are estimated by discriminant analysis and then modified by empirical Bayes methods to give more accurate estimates of the state of residence effects. These modified estimates show that state of residence has a much larger effect for majority applicants than for minority applicants. An exploratory regression analysis indicates that legal residents of states with high ratios of medical school places to population are more likely to be admitted to a medical school.

scholarly journals Does an Emotional Intelligence Test Correlate With Traditional Measures Used to Determine Medical School Admission?

2011 ◽  
Vol 86 ◽  
pp. S39-S41 ◽  
Author(s):  
John J. Leddy ◽  
Geneviève Moineau ◽  
Derek Puddester ◽  
Timothy J. Wood ◽  
Susan Humphrey-Murto
Keyword(s):  
Emotional Intelligence ◽  
Medical School ◽  
Intelligence Test ◽  
Medical School Admission

scholarly journals Does Emotional Intelligence at medical school admission predict future licensing examination performance?

2020 ◽  
Author(s):  
Tim J. Wood ◽  
Susan Humphrey-Murto ◽  
Genevieve Moineau ◽  
Melissa Forgie ◽  
Derek Puddester ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
Medical School ◽  
Medical Council ◽  
Medical School Admissions ◽  
Age And Gender ◽  
Future Performance ◽  
Potential Measure ◽  
And Gender ◽  
The University ◽  
Admissions Process

Background: Medical school admissions committees are seeking alternatives to traditional academic measures when selecting students; one potential measure being emotional intelligence (EI). If EI is to be used as an admissions criterion, it should predict future performance. The purpose of this study is to determine if EI scores at admissions predicts performance on a medical licensure examination Methods: All medical school applicants to the University of Ottawa in 2006 and 2007 were invited to complete the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT v2.0) after their interview. Students were tracked through medical school into licensure and EI scores were correlated to their scores on the Medical Council of Canada Qualifying Examination (MCCQE) attempted between 2010 and 2014. Results: The correlation between the MSCEIT and the MCCQE Part I was r (200) = .01 p =. 90 The covariates of age and gender accounted for a significant amount of variance in MCCQE Part I scores (R2 = .10, p <.001, n=202) but the addition of the MSCEIT scores was not statistically significant (R2 change = .002, p=.56). The correlation between the MSCEIT and the MCCQE Part II was r(197) = .06, p = .41. The covariates of age and gender accounted for some variance in MCCQE Part II scores (R2 = .05, p = .007, n=199) but the addition of the MSCEIT did not (R2 change = .002 p =.55). Conclusion: The low correlations between EI and licensure scores replicates other studies that have found weak correlations between EI scores and tests administered at admissions and during medical school.  These results suggest caution if one were to use EI as part of their admissions process.

The predictive validity of grade point average scores in a partial lottery medical school admission system

2006 ◽  
Vol 40 (10) ◽  
pp. 1012-1019 ◽  
Author(s):  
Janke Cohen-Schotanus ◽  
Arno M M Muijtjens ◽  
Jan J Reinders ◽  
Jessica Agsteribbe ◽  
Herman J M van Rossum ◽  
...  
Keyword(s):  
Medical School ◽  
Grade Point Average ◽  
Predictive Validity ◽  
Medical School Admission ◽  
Grade Point ◽  
Admission System

scholarly journals Does Emotional Intelligence at Medical School Admission Predict Future Academic Performance?

2014 ◽  
Vol 89 (4) ◽  
pp. 638-643 ◽  
Author(s):  
Susan Humphrey-Murto ◽  
John J. Leddy ◽  
Timothy J. Wood ◽  
Derek Puddester ◽  
Geneviève Moineau
Keyword(s):  
Emotional Intelligence ◽  
Academic Performance ◽  
Medical School ◽  
Medical School Admission
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