Department of Psychology, Bowling Green State University.
Department of Management and Entrepreneurship, School of Business, Virginia Commonwealth University.
Perspect Psychol Sci. 2024 Nov;19(6):900-907. doi: 10.1177/17456916241234328. Epub 2024 Mar 7.
In response to Webb and Tangney (2022) we call into question the conclusion that data collected on Amazon's Mechanical Turk (MTurk) was "at best-only 2.6% valid" (p. 1). We suggest that Webb and Tangney made certain choices during the study-design and data-collection process that adversely affected the quality of the data collected. As a result, the anecdotal experience of these authors provides weak evidence that MTurk provides low-quality data as implied. In our commentary we highlight best practice recommendations and make suggestions for more effectively collecting and screening online panel data.
针对 Webb 和 Tangney（2022）的观点，我们对“在亚马逊的 Mechanical Turk（MTurk）上收集的数据‘最多只有 2.6%是有效的’”这一结论提出质疑。我们认为，Webb 和 Tangney 在研究设计和数据收集过程中做出了某些选择，这些选择对收集数据的质量产生了不利影响。因此，这些作者的轶事经验提供了微弱的证据，表明 MTurk 提供的是低质量的数据。在我们的评论中，我们强调了最佳实践建议，并提出了更有效地收集和筛选在线面板数据的建议。
