Literature DB >> 29561273

Do Multiple Mini-Interview and Traditional Interview Scores Differ in Their Associations With Acceptance Offers Within and Across Five California Medical Schools?

Anthony Jerant1, Mark C Henderson, Erin Griffin, Theodore R Hall, Carolyn J Kelly, Ellena M Peterson, David Wofsy, Peter Franks.   

Abstract

PURPOSE: In single-school studies, multiple mini-interview (MMI) and traditional interview (TI) scores are associated with acceptance offers. Unexamined is whether scores at one school are associated with acceptance at other schools; such analyses would mitigate single-school design biases and better estimate how well interviews capture desired applicant attributes. Using data from the 5 California Longitudinal Evaluation of Admissions Practices (CA-LEAP) medical schools, the authors examined associations of MMI and TI scores with acceptance offers within and across schools.
METHOD: The analyses included applicants who interviewed at ≥1 CA-LEAP school during the 2011-2013 admissions cycles. Three CA-LEAP schools employed TIs and 2 employed MMIs. Interview scores were standardized (z scores: mean = 0, SD = 1), and associations with acceptance offers were examined within and across schools in analyses stratified by school, adjusting for applicant sociodemographics, academic metrics, year, and total number of interviews.
RESULTS: Of 4,993 applicants interviewed, 428 (8.6%) interviewed at both MMI schools, 681 (13.6%) at ≥2 TI schools, and 1,327 (26.6%) at ≥1 MMI and ≥1 TI school. For each school, acceptance was associated with interview score at that school and also with interview scores at the other 4 schools. Cross-school associations of MMI versus TI scores with acceptance did not differ statistically.
CONCLUSIONS: Interview score at a given school was associated with acceptance at the other 4 schools, with no significant differences in associations for MMIs versus TIs. The findings suggest both MMIs and TIs captured attributes valued by admissions teams across CA-LEAP schools.

Mesh:

Year:  2018        PMID: 29561273     DOI: 10.1097/ACM.0000000000002223

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  2 in total

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Authors:  Kulamakan Kulasegaram; Victorina Baxan; Elicia Giannone; David Latter; Mark D Hanson
Journal:  Acad Med       Date:  2022-02-01       Impact factor: 7.840

2.  Medical Education during COVID-19: Response at one medical school.

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  2 in total

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