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A total of 564 individuals from the United States participated in our experiment. They were asked to read a vignette outlining one of four hypothetical technology products and then complete a related survey. Three forms of attention check (logic, honesty, and time) were used to assess attentiveness. Through this experiment we determined that a total of 126 (22.3%) participants failed at least one of the three forms of attention check, with most (94) failing the honesty check \u2013 followed by the logic check (31), and the time check (27). Thus, we established that significant levels of inattentiveness exist even among the most elite MTurk workers. The study concludes by reaffirming the need for multiple forms of carefully crafted attention checks, irrespective of whether participant quality is presumed to be high according to MTurk criteria such as \u2018Master\u2019, \u2018Approval Rate\u2019, and \u2018Number of HITS approved\u2019. Furthermore, we propose that researchers adjust their proposals to account for the effort and costs required to address participant inattentiveness.<\/jats:p>","DOI":"10.1007\/978-3-030-90238-4_12","type":"book-chapter","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T07:11:14Z","timestamp":1637305874000},"page":"147-164","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["The Hidden Cost of Using Amazon Mechanical Turk for Research"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6745-810X","authenticated-orcid":false,"given":"Antonios","family":"Saravanos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stavros","family":"Zervoudakis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongnanzi","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil","family":"Stott","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bohdan","family":"Hawryluk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donatella","family":"Delfino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,11,20]]},"reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.jom.2017.06.001","volume":"53\u201356","author":"J Abbey","year":"2017","unstructured":"Abbey, J., Meloy, M.: Attention by design: using attention checks to detect inattentive respondents and improve data quality. 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