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TESOL Quarterly
Article . 2024 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Researchers Training Researchers: Ethics Training in Quantitative Applied Linguistics

Authors: Margaret Wood; Scott Sterling; Tove Larsson; Luke Plonsky; Merja Kytö; Kate Yaw;
APC: 2,305.72 EUR

Researchers Training Researchers: Ethics Training in Quantitative Applied Linguistics

Abstract

Abstract This forum piece reports on a brief survey of current quantitative research ethics training materials in Applied Linguistics (AL). This survey was conducted as a step towards an increased understanding of the ways in which we, as a field, train students and researchers to conduct quantitative research ethically. The survey was carried out in the process of creating research ethics training materials as part of a grant‐funded project related to questionable research practices (QRPs). Through manual and computer‐assisted searches in twenty‐four textbooks and twenty‐three course syllabi from the past five years, three themes emerged: (1) research ethics is most often conceptualized in terms of IRB‐related topics, (2) when ‘ethical gray‐zone’ issues are mentioned, the focus is primarily on methodological transparency, data sharing/open science, and selecting the appropriate research design and statistical tests, and (3) materials tend to address the topic of research ethics in a single section or chapter, or in a single day or week of a course. Against this background, we provide three recommendations that our field can implement to provide more robust and thorough research ethics training for students and researchers in TESOL and Applied Linguistics: (1) expand our conceptualization of research ethics to include ethical gray‐zone issues, (2) be thorough and explicit in our discussion of ethical issues related to research decisions, and (3) incorporate research ethics as a recurring theme throughout textbooks and courses.

Country
Sweden
Keywords

General Language Studies and Linguistics, Jämförande språkvetenskap och allmän lingvistik

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green
hybrid