Distinction without a difference? An assessment of MTurk Worker types

Loepp, Eric; Kelly, Jarrod T.

doi:10.1177/2053168019901185

Cited by 40 publications

(19 citation statements)

References 21 publications

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“…Participants for the present study were recruited through Amazon.com's MTurk website in 2018. MTurk is the most frequently used online data collection site (Porter et al, 2019) that allows individuals, called "workers," to complete various human intelligence tasks (HITs), including research surveys (Loepp & Kelly, 2020). Participants recruited from MTurk tend to be similar to those recruited via other online survey platforms in terms of demographic characteristics (Huff & Tingley, 2015), and MTurk provides equivalent to superior data quality when compared to marketing research companies and lab-based studies (Casler et al, 2013;Kees et al, 2017;Paolacci & Chandler, 2014).…”

Section: Methods Participants and Proceduresmentioning

confidence: 99%

Moral disengagement mechanisms predict cyber aggression among emerging adults

et al. 2022

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The Internet has given rise to many new communication tools (e.g., social media, text messaging), which, while beneficial in many respects, have become a means for aggressing against others. As evidence of the adverse correlates of cyber aggression mounts, improved understanding of the mechanisms that facilitate electronic aggression is needed. Moral disengagement (i.e., cognitive processes through which individuals disengage from their moral values) has been shown to predict cyber aggression when assessed as a unitary construct. The present study investigated the eight moral disengagement mechanisms measured by the Moral Disengagement Measure (Detert et al., 2008) and their relationships to four types of cyber aggression perpetration assessed with the Cyberbullying Experiences Survey (i.e., malice, public humiliation, deception, and unwanted contact; Doane et al., 2013). Emerging adults (N = 404, 58.67% women) aged 18 to 29 (M = 25.16, SD = 2.76) recruited through Amazon.com’s MTurk website completed measures online, and data were analyzed via path analysis. Each type of cyber aggression perpetration was predicted by different moral disengagement mechanisms. Advantageous comparison and dehumanization were the strongest predictors, and dehumanization was the only mechanism to predict all forms of cyber aggression. These findings provide support for the role of these mechanisms in cyber aggression and suggest that examining moral disengagement mechanisms individually may help to improve our understanding of cyber aggression among emerging adults. Further clinical and research implications are discussed.

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Section: Methods Participants and Proceduresmentioning

confidence: 99%

Moral disengagement mechanisms predict cyber aggression among emerging adults

et al. 2022

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“…However, Amazon MTurk Master Workers are more likely to be female, older, and more experienced in their assignments than regular workers, and were excluded to minimize potential sampling bias. 18…”

Section: Methodsmentioning

confidence: 99%

Associations Between Occupational and Leisure-Time Physical Activity With Employee Stress, Burnout and Well-Being Among Healthcare Industry Workers

et al. 2021

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Purpose: Examine the associations of occupational and leisure-time physical activity with job stress, burnout, and well-being among healthcare industry workers. Design: Quantitative; cross-sectional. Setting: Healthcare Industry. Sample: US Amazon Mechanical Turk participants (n = 550) employed in the healthcare industry, worked 35 hours or more per week, had ≥ 1 supervisor and ≥ 1 co-worker, and were ≥ 18 years old. Measures: Self-reported measures of occupational physical activity (OPA) and leisure-time physical activity (LTPA), employee well-being, job stress, and burnout operationalized as exhaustion and disengagement. Analysis: Associations between OPA and LTPA with employee well-being, job stress, exhaustion and disengagement were assessed with separate multiple linear regression models. Results: OPA had positive significant associations with job stress (β = 0.10, P value = .003) and exhaustion (β = 0.21, P value < .0001). No significant associations were found between OPA with other psychological outcomes. A significant inverse association was found between LTPA and exhaustion (β = −0.04, P value = .007). Conclusion: In a sample of U.S. health care workers, and consistent with prior epidemiological studies, greater LTPA was associated with lower feelings of exhaustion. In contrast, health care workers with greater OPA reported higher perceptions of job stress and exhaustion. The findings underscore the need for more research aimed at understanding relationships between OPA and psychological health among healthcare workers.

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“… 1 MTurk Master Workers are automatically granted this status by a proprietary statistical model that analyzes performance based on data points such as quality of results (indicated by approval rates), length of tenure, and variety of work performed. It is unclear whether or not there is an advantage in utilizing them, as burgeoning research suggests that “research findings are only minimally impacted by Worker type” ( Loepp and Kelly (2020) , p. 7). …”

mentioning

confidence: 99%