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Psychometric properties of the multiple mini-interview used for medical admissions: findings from generalizability and Rasch analyses

Abstract

The multiple mini-interview (MMI) has become an increasingly popular admissions method for selecting prospective students into professional programs (e.g., medical school). The MMI uses a series of short, labour intensive simulation stations and scenario interviews to more effectively assess applicants’ non-cognitive qualities such as empathy, critical thinking, integrity, and communication. MMI data from 455 medical school applicants were analyzed using: (1) Generalizability Theory to estimate the generalizability of the MMI and identify sources of error; and (2) the Many-Facet Rasch Model, to identify misfitting examinees, items and raters. Consistent with previous research, our results support the reliability of MMI process. However, it appears that the non-cognitive qualities are not being measured as unique constructs across stations.

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Correspondence to Stefanie S. Sebok.

Appendix

Appendix

See Table 6.

Table 6 List of items (attributes) for MMI stations

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Sebok, S.S., Luu, K. & Klinger, D.A. Psychometric properties of the multiple mini-interview used for medical admissions: findings from generalizability and Rasch analyses. Adv in Health Sci Educ 19, 71–84 (2014). https://doi.org/10.1007/s10459-013-9463-7

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  • DOI: https://doi.org/10.1007/s10459-013-9463-7

Keywords

  • Multiple mini-interview
  • Medical admissions
  • Rasch measurement
  • G theory