Context: Although health sciences programmes continue to value non-cognitive variables such as interpersonal skills and professionalism, it is not clear that current admissions tools like the personal interview are capable of assessing ability in these domains. Hypothesising that many of the problems with the personal interview might be explained, at least in part, by it being yet another measurement tool that is plagued by context specificity, we have attempted to develop a multiple sample approach to the personal interview.
Methods: A group of 117 applicants to the undergraduate MD programme at McMaster University participated in a multiple mini-interview (MMI), consisting of 10 short objective structured clinical examination (OSCE)-style stations, in which they were presented with scenarios that required them to discuss a health-related issue (e.g. the use of placebos) with an interviewer, interact with a standardised confederate while an examiner observed the interpersonal skills displayed, or answer traditional interview questions.
Results: The reliability of the MMI was observed to be 0.65. Furthermore, the hypothesis that context specificity might reduce the validity of traditional interviews was supported by the finding that the variance component attributable to candidate-station interaction was greater than that attributable to candidate. Both applicants and examiners were positive about the experience and the potential for this protocol.
Discussion: The principles used in developing this new admissions instrument, the flexibility inherent in the multiple mini-interview, and its feasibility and cost-effectiveness are discussed.
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http://dx.doi.org/10.1046/j.1365-2923.2004.01776.x | DOI Listing |
Med Sci Educ
December 2024
Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH USA.
Purpose: To examine the characteristics between virtual multiple mini-interview (vMMI) and in-person interviews (ipMMI) in regard to difference in performance between applicant-reported gender identity and racial groups.
Methods: Retrospective multiple mini-interview (MMI) data from two vMMI interview cycles (2021 and 2022) consisting of 627 applicants and four ipMMI cycles (2017-2020) consisting of 2248 applicants. Comparisons were made between applicant subgroups including reported gender (male and female) and minority status (URiM and non-URiM).
BMC Med Educ
January 2025
Division of Learning and Teaching, Charles Sturt University, Bathurst, NSW, Australia.
Background: Interviewers' judgements play a critical role in competency-based assessments for selection such as the multiple-mini-interview (MMI). Much of the published research focuses on the psychometrics of selection and the impact of rater subjectivity. Within the context of selecting for entry into specialty postgraduate training, we used an interpretivist and socio-constructivist approach to explore how and why interviewers make judgments in high stakes selection settings whilst taking part in an MMI.
View Article and Find Full Text PDFAust J Rural Health
February 2025
The University of Queensland Rural Clinical School, Rockhampton, Queensland, Australia.
Objective: To explore the experiences and perceptions of rural and metropolitan applicants preparing for and completing all admission components for a provisional entry regional medical pathway.
Setting: Provisional entry regional medical pathway.
Participants: Provisional entry (school-leaver) applicants (N = 18) who completed a Multiple Mini-Interview (MMI).
J Vet Med Educ
May 2024
Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, C1A 4P3, Canada.
Admissions committees have historically emphasized cognitive measures, but a paradigm shift toward holistic reviews now places greater importance on non-cognitive skills. These holistic reviews may include personal statements, experiences, references, interviews, multiple mini-interviews, and situational judgment tests, often requiring substantial faculty resources. Leveraging advances in artificial intelligence, particularly in natural language processing, this study was conducted to assess the agreement of essay scores graded by both humans and machines (OpenAI's ChatGPT).
View Article and Find Full Text PDFJ Vet Med Educ
December 2024
Small Animal Medicine and Surgery, University of Georgia, Athens, GA 30605, USA.
The multiple mini-interview (MMI) format assesses candidates' performance in various competencies and is becoming commonplace in medical school and residency programs. This interview format compares to and surpasses the traditional interview in validity, reliability, feasibility, and acceptability. We developed a MMI to assess resident and specialty intern candidates for Small Animal Internal Medicine over a 3-year period.
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