{"title":"轶事太假?Mechanical Turk并非都是机器人和坏数据:对 Webb 和 Tangney(2022 年)的回应》。","authors":"Melissa G Keith, Alexander S McKay","doi":"10.1177/17456916241234328","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":19757,"journal":{"name":"Perspectives on Psychological Science","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Too Anecdotal to Be True? Mechanical Turk Is Not All Bots and Bad Data: Response to Webb and Tangney (2022).\",\"authors\":\"Melissa G Keith, Alexander S McKay\",\"doi\":\"10.1177/17456916241234328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":19757,\"journal\":{\"name\":\"Perspectives on Psychological Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Perspectives on Psychological Science\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/17456916241234328\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Perspectives on Psychological Science","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/17456916241234328","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
Too Anecdotal to Be True? Mechanical Turk Is Not All Bots and Bad Data: Response to Webb and Tangney (2022).
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.
期刊介绍:
Perspectives on Psychological Science is a journal that publishes a diverse range of articles and reports in the field of psychology. The journal includes broad integrative reviews, overviews of research programs, meta-analyses, theoretical statements, book reviews, and articles on various topics such as the philosophy of science and opinion pieces about major issues in the field. It also features autobiographical reflections of senior members of the field, occasional humorous essays and sketches, and even has a section for invited and submitted articles.
The impact of the journal can be seen through the reverberation of a 2009 article on correlative analyses commonly used in neuroimaging studies, which still influences the field. Additionally, a recent special issue of Perspectives, featuring prominent researchers discussing the "Next Big Questions in Psychology," is shaping the future trajectory of the discipline.
Perspectives on Psychological Science provides metrics that showcase the performance of the journal. However, the Association for Psychological Science, of which the journal is a signatory of DORA, recommends against using journal-based metrics for assessing individual scientist contributions, such as for hiring, promotion, or funding decisions. Therefore, the metrics provided by Perspectives on Psychological Science should only be used by those interested in evaluating the journal itself.