Inattentive Responding in MTurk and Other Online Samples

Avi Fleischer, Alan D. Mead and Jialin Huang

Industrial and Organizational Psychology, 2015, vol. 8, issue 2, 196-202

Abstract: The focal article by Landers and Behrend (2015) makes the case that samples collected on microtask websites like Amazon's Mechanical Turk (MTurk) are inherently no better or worse than traditional samples of convenience from university students or organizations. We wholeheartedly agree. However, having successfully used MTurk and other online sources for data collection, we feel that the focal article was insufficient regarding the caution required in identifying inattentive respondents and the problems that can arise if such individuals are not removed from the dataset. Although we focus on MTurk, similar issues arise for most “low-stakes” assessments, including student samples, which seem to be increasingly collected online.

Date: 2015
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