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Amazon Mechanical Turk for Industrial and Organizational Psychology: Advantages, Challenges, and Practical Recommendations

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  • Woo, Sang Eun
  • Keith, Melissa
  • Thornton, Meghan A.

Abstract

We are in almost full agreement with Landers and Behrend's (2015) thoughtful and balanced critiques of various convenience sampling strategies focusing on the four most frequently used data sources in our field. In this commentary, we expand on Landers and Behrend's discussions specifically around Mechanical Turk (MTurk) by providing further supporting voice and/or clarity to the four potential concerns and relative advantages associated with MTurk. We also raise a few additional concerns and challenges to which the current literature does not yet offer definitive answers. We conclude with some practical guidelines summarizing the relative advantages and unique challenges of using MTurk.

Suggested Citation

  • Woo, Sang Eun & Keith, Melissa & Thornton, Meghan A., 2015. "Amazon Mechanical Turk for Industrial and Organizational Psychology: Advantages, Challenges, and Practical Recommendations," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(2), pages 171-179, June.
  • Handle: RePEc:cup:inorps:v:8:y:2015:i:02:p:171-179_00
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    Cited by:

    1. Acemoglu, Daron & Mühlbach, Nicolaj Søndergaard & Scott, Andrew J., 2022. "The rise of age-friendly jobs," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    2. Arndt, Aaron D. & Ford, John B. & Babin, Barry J. & Luong, Vinh, 2022. "Collecting samples from online services: How to use screeners to improve data quality," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 117-133.
    3. Chi, Ting, 2018. "Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 274-284.
    4. Jiyin Cao & Edward Bishop Smith, 2021. "Why Do High-Status People Have Larger Social Networks? Belief in Status-Quality Coupling as a Driver of Network-Broadening Behavior and Social Network Size," Organization Science, INFORMS, vol. 32(1), pages 111-132, January.
    5. Hudik, Marek & Fang, Eddy S., 2020. "Money or in-kind gift? Evidence from red packets in China," Journal of Institutional Economics, Cambridge University Press, vol. 16(5), pages 731-746, October.
    6. Grégoire, Denis A. & Binder, Julia K. & Rauch, Andreas, 2019. "Navigating the validity tradeoffs of entrepreneurship research experiments: A systematic review and best-practice suggestions," Journal of Business Venturing, Elsevier, vol. 34(2), pages 284-310.
    7. Jennifer Pickett & Joeri Hofmans & Jonas Debusscher & Filip Fruyt, 2020. "Counterdispositional Conscientiousness and Wellbeing: How Does Acting Out of Character Relate to Positive and Negative Affect At Work?," Journal of Happiness Studies, Springer, vol. 21(4), pages 1463-1485, April.

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