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Increasing Transparency on the Use of Artificial Intelligence and Automated Tools in Mixed Methods Studies

Bibliographic Data

ID12811405
AuthorsTyler G James (0000-0002-0694-4702, University of Michigan, corresponding author), Timothy C Guetterman (0000-0002-0093-858X, University of Michigan), José F Molina‐Azorín (0000-0002-6337-0514, University of Alicante)
Year2024
Volume18
Issue4
Pages425-429
Publication date2024-09-18
Open AccessYes
TypeARTICLE
VenueJournal of Mixed Methods Research (JOURNAL)
Journal identifiersISSN: 1558-6898 • E-ISSN: 1558-6901
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/15586898241287294
OpenAlexW4402656913
LanguageEN
Citations received1
References cited10

This editorial describes a new requirement for submissions to the Journal of Mixed Methods Research (JMMR): transparently disclose the use of artificial intelligence or automated tools during the research process. An in-depth review of the perceived and actual advantages and disadvantages of using artificial intelligence/automated tools is beyond the scope of this editorial. In this editorial, we indicate some definitions and implications of using these tools in research. Next, we emphasize several reporting requirements that authors must consider in their submissions to JMMR. Finally, some steps and opportunities are highlighted

Computer security · Data science · Management science · Mathematics education · Multimethodology · Transparency (behavior · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Psychology · Artificial Intelligence

  • In This Issue

    Open Access•José F Molina‐Azorín, Timothy C Guetterman•Journal of Mixed Methods Research•2024

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    Open Access•M I Jordan, T M Mitchell•Science•2015

  • What Does ChatGPT Mean for Qualitative Health Research

    Open Access•M Van Manen•Qualitative Health Research•2023

  • Machine Learning Mixed Methods Text Analysis

    Open Access•Kamali Sripathi, Rosa A Moscarella et al.•Journal of Mixed Methods Research•2023

  • Integrated Data Collection in Q Methodology

    Open Access•Susan Ramlo•Journal of Mixed Methods Research•2024

  • Persuasion with Precision

    Open Access•Ann Marie Reinhold, Eric D Raile et al.•Journal of Mixed Methods Research•2022

  • Accelerating Mixed Methods Research With Natural Language Processing of Big Text Data

    Open Access•Tammy Chang, Melissa Dejonckheere et al.•Journal of Mixed Methods Research•2021

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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