Concept

Multiple mini-interview

Summary
In recruitment, the multiple mini-interview (MMI) is an interview format that uses many short independent assessments, typically in a timed circuit, to obtain an aggregate score of each candidate's soft skills. In 2001, the McMaster University Medical School began developing the MMI system, to address two widely recognized problems. First, it has been shown that traditional interview formats or simulations of educational situations do not accurately predict performance in medical school. Secondly, when a licensing or regulatory body reviews the performance of a physician subsequent to patient complaints, the most frequent issues of concern are those of the non-cognitive skills, such as interpersonal skills, professionalism and ethical/moral judgment. Since its formal introduction at McMaster University Medical School in 2004, it has been adopted by medical, dental, pharmacy, and veterinary schools around the world. Interviews have been used widely for different purposes, including assessment and recruitment. Candidate assessment is normally deemed successful when the scores generated by the measuring tool predict for future outcomes of interest, such as job performance or job retention. Meta-analysis of the human resource literature has demonstrated low to moderate ability of interviews to predict for future job performance. How well a candidate scores on one interview is only somewhat correlated with how well that candidate scores on the next interview. Marked shifts in scores are buffered when collecting many scores on the same candidate, with a greater buffering effect provided by multiple interviews than by multiple interviewers acting as a panel for one interview. The score assigned by an interviewer in the first few minutes of an interview is rarely changed significantly over the course of the rest of the interview, an effect known as the halo effect. Therefore, even very short interviews within an MMI format provide similar ability to differentiate reproducibly between candidates.
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