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:
  • Published: 9 February 2022
  • Accepted: 20 December 2021
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: 16 Oct 2024 18:08
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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