Validity evidence for the Hamburg multiple mini-interview

BMC Med Educ. 2018 May 14;18(1):106. doi: 10.1186/s12909-018-1208-0.

Abstract

Background: Multiple mini-interviews (MMI) become increasingly popular for the selection of medical students. In this work, we examine the validity evidence for the Hamburg MMI.

Methods: We conducted three follow-up studies for the 2014 cohort of applicants to medical school over the course of two years. We calculated Spearman's rank correlation (ρ) between MMI results and (1) emotional intelligence measured by the Trait Emotional Intelligence Questionnaire (TEIQue-SF) and the Situational Test of Emotion Management (STEM), (2) supervisors' and practice team members' evaluations of psychosocial competencies and suitability for the medical profession after a one-week 1:1 teaching in a general practice (GP) and (3) objective structured clinical examination (OSCE) scores.

Results: There were no significant correlations between MMI results and the TEIQue-SF (ρ = .07, p > .05) or the STEM (ρ = .05, p > .05). MMI results could significantly predict GP evaluations of psychosocial competencies (ρ = .32, p < .05) and suitability for the medical profession (ρ = .42, p < .01) as well as OSCE scores (ρ = .23, p < .05). The MMI remained a significant predictor of these outcomes in a robust regression model including gender and age as control variables.

Conclusions: Our findings suggest that MMIs can measure competencies that are relevant in a practical context. However, these competencies do not seem to be related to emotional intelligence as measured by self-report or situational judgement test.

Keywords: Admission; Emotional intelligence; General practice; Multiple mini-interviews; Psychosocial competencies; Selection of medical students.

MeSH terms

  • Emotional Intelligence*
  • Family Practice / education
  • Female
  • Follow-Up Studies
  • Germany
  • Humans
  • Interviews as Topic / methods*
  • Male
  • Reproducibility of Results
  • School Admission Criteria*
  • Schools, Medical*
  • Self Report
  • Statistics, Nonparametric
  • Students, Medical / psychology*
  • Surveys and Questionnaires
  • Young Adult