Multiple mini interviews: revealing similarities across institutions
نویسندگان
چکیده
منابع مشابه
Multiple mini-interviews versus traditional interviews: stakeholder acceptability comparison.
CONTEXT The McGill University Faculty of Medicine undertook a pilot, simulation-based multiple mini-interview (MMI) for medical school applicant selection, which ran simultaneously with traditional unstructured interviews (all applicants underwent both processes). This paper examines major stakeholder (applicants and evaluators) opinions towards the MMI compared with traditional interviews, inc...
متن کاملReliability of Multiple Mini-Interviews and traditional interviews within and between institutions: a study of five California medical schools
BACKGROUND Many medical schools use admissions Multiple Mini-Interviews (MMIs) rather than traditional interviews (TIs), partly because MMIs are thought to be more reliable. Yet prior studies examined single-school samples of candidates completing either an MMI or TI (not both). Using data from five California public medical schools, the authors examined the within- and between-school reliabili...
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In this paper, we present an approach to automatically revealing phonological classes within historically related languages. A newly created bilingual German-Dutch pronunciation dictionary is used for learning phonological similarities between the onsets, nuclei and codas of these two languages via EM-based clustering. Our evaluation is twofold: we apply the models to predict from a German word...
متن کاملAuthor’s response to reviews Title: Reliability of Multiple Mini-Interviews and traditional interviews within and between institutions: a study of five California medical schools Authors:
Title: Reliability of Multiple Mini-Interviews and traditional interviews within and between institutions: a study of five California medical schools Authors: Anthony Jerant ([email protected]) Mark Henderson ([email protected]) Erin Griffin ([email protected]) Julie Rainwater ([email protected]) Theodore Hall ([email protected]) Carolyn Kelly ([email protected]) Ellena Pete...
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We present a method for identifying corresponding themes across several corpora that are focused on related, but distinct, domains. This task is approached through simultaneous clustering of keyword sets extracted from the analyzed corpora. Our algorithm extends the informationbottleneck soft clustering method for a suitable setting consisting of several datasets. Experimentation with topical c...
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ژورنال
عنوان ژورنال: BMC Medical Education
سال: 2018
ISSN: 1472-6920
DOI: 10.1186/s12909-018-1298-8