Feasibility of an automated interview grounded in Multiple Mini Interview (MMI) methodology for selection into the health professions:an international multi-methods evaluation

Callwood, Alison, Gillam, Lee, Christidis, Angelos et al. (9 more authors) (2022) Feasibility of an automated interview grounded in Multiple Mini Interview (MMI) methodology for selection into the health professions:an international multi-methods evaluation. BMJ Open. e050394. ISSN: 2044-6055

Metadata

Item Type: Article
Authors/Creators:
  • Callwood, Alison
  • Gillam, Lee
  • Christidis, Angelos
  • Doulton, Jia
  • Harris, Jenny
  • Coleman, Marianne
  • Kubacki, Angela
  • Tiffin, Paul Alexander ORCID logo https://orcid.org/0000-0003-1770-5034
  • Roberts, Karen
  • Tarmey, Drew
  • Dalton, Doris
  • Valentin, Virginia L
Copyright, Publisher and Additional Information:

© Author(s) (or their employer(s)) 2022
Dates:
  • Accepted: 20 December 2021
  • Published: 9 February 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Hull York Medical School (York)
Depositing User: Pure (York)
Date Deposited: 12 Jan 2022 01:08
Last Modified: 17 Sep 2025 02:49
Published Version: https://doi.org/10.1136/ bmjopen-2021-050394
Status: Published
Refereed: Yes
Identification Number: 10.1136/ bmjopen-2021-050394
Open Archives Initiative ID (OAI ID):

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Description: Feasibility of an automated interview grounded in multiple mini interview (MMI) methodology for selection into the health professions: an international multimethod evaluation

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