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The Feasibility of a Japanese Crowdsourcing Service for Experimental Research in Psychology

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  • Yoshimasa Majima

Abstract

Recent studies have empirically validated the data obtained from Amazon’s Mechanical Turk. Amazon’s Mechanical Turk workers behaved similarly not only in simple surveys but also in tasks used in cognitive behavioral experiments that employ multiple trials and require continuous attention to the task. The present study aimed to extend these findings to data from Japanese crowdsourcing pool in which participants have different ethnic backgrounds from Amazon’s Mechanical Turk workers. In five cognitive experiments, such as the Stroop and Flanker experiments, the reaction times and error rates of Japanese crowdsourcing workers and those of university students were compared and contrasted. The results were consistent with those of previous studies, although the students responded more quickly and poorly than the workers. These findings suggested that the Japanese crowdsourcing sample is another eligible participant pool in behavioral research; however, further investigations are needed to address issues of qualitative differences between student and worker samples.

Suggested Citation

  • Yoshimasa Majima, 2017. "The Feasibility of a Japanese Crowdsourcing Service for Experimental Research in Psychology," SAGE Open, , vol. 7(1), pages 21582440176, March.
  • Handle: RePEc:sae:sagope:v:7:y:2017:i:1:p:2158244017698731
    DOI: 10.1177/2158244017698731
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    References listed on IDEAS

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    1. Jesse Chandler & Danielle Shapiro, "undated". "Conducting Clinical Research Using Crowdsourced Convenience Samples," Mathematica Policy Research Reports c0fd2ad7be9c4bdb8b396aa7e, Mathematica Policy Research.
    2. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    3. Matthew J C Crump & John V McDonnell & Todd M Gureckis, 2013. "Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-18, March.
    4. Jesse Chandler & Danielle Shapiro, "undated". "Conducting Clinical Research Using Crowdsourced Convenience Samples," Mathematica Policy Research Reports c9ae2ea1c9b249deadb0c7c0d, Mathematica Policy Research.
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    Cited by:

    1. Kun Qian & Firouzeh Javadi & Michikazu Hiramatsu, 2020. "Influence of the COVID-19 Pandemic on Household Food Waste Behavior in Japan," Sustainability, MDPI, vol. 12(23), pages 1-15, November.

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