期刊
INTERNATIONAL JOURNAL OF EATING DISORDERS
卷 55, 期 2, 页码 278-281出版社
WILEY
DOI: 10.1002/eat.23670
关键词
Amazon Mechanical Turk; citizen science; data quality; metascience; online research methods
资金
- Science Foundation Ireland's Frontiers for the Future Scheme [19/FFP/6418]
- MQ: transforming mental health [MQ16IP13]
- European Research Council (ERC) Starting Grant (ERC-H2020-HABIT)
Online research has become an important tool for conducting studies, but concerns about the validity and reliability of the data collected remain. The future of online research will be more diverse and reliant on citizen scientists and those with lived experience. Researchers need to continuously reflect and adapt to ensure the quality of their research.
Online methods have become a powerful research tool, allowing us to conduct well-powered studies, to explore and replicate effects, and to recruit often rare and diverse samples. However, concerns about the validity and reliability of the data collected from some platforms have reached crescendo. In this issue, Burnette et al. (2021) describe how commonly employed protective measures such as captchas, response consistency requirements, and attention checks may no longer be sufficient to ensure high-quality data in survey-based studies on Amazon's Mechanical Turk. We echo and elaborate on these concerns, but believe that although imperfect, online research will continue to be incredibly important in driving progress in mental health science. Not all platforms or populations are well suited to every research question and so we posit that the future of online research will be much more varied, and in no small part supported by citizen scientists and those with lived experience. Whatever the medium, researchers cannot stand still; we must continuously reflect and adapt to technological advances, demographics, and motivational shifts of our participants. Online research is difficult but worthwhile.
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