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Cognitive Effects of Inattentive Responding in an MTurk Sample

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  • Jimin Pyo
  • Michael G. Maxfield

Abstract

Objective Mechanical Turk (MTurk) has become an increasingly valuable sampling tool for social scientists. At the same time, concern has emerged about the quality of responses obtained from MTurk workers. This article demonstrates several screening practices for identifying problematic or inattentive MTurk participants. The study also examines how inattentive responding affects psychometric properties of measures and relationships between substantive variables. Method A sample of 498 MTurk workers participated in an experimental study for developing and validating scales of public confidence in the criminal justice system. Multiple screening procedures were used to identify inattentive participants and their potential effects on study measures and hypothesis testing. Results Results reveal adverse impacts on psychometric properties of measures as well as inflated observed relationships between substantive variables. Conclusion Screeners used in this study work well in identifying attention problems among MTurk participants. The present study expands guidance for improving quality of responses from MTurk participants for social science research.

Suggested Citation

  • Jimin Pyo & Michael G. Maxfield, 2021. "Cognitive Effects of Inattentive Responding in an MTurk Sample," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 2020-2039, July.
    • Handle: RePEc:bla:socsci:v:102:y:2021:i:4:p:2020-2039
    DOI: 10.1111/ssqu.12954
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    References listed on IDEAS

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    1. Alvarez, R. Michael & Atkeson, Lonna Rae & Levin, Ines & Li, Yimeng, 2019. "Paying Attention to Inattentive Survey Respondents," Political Analysis, Cambridge University Press, vol. 27(2), pages 145-162, April.
    2. Clifford, Scott & Jerit, Jennifer, 2014. "Is There a Cost to Convenience? An Experimental Comparison of Data Quality in Laboratory and Online Studies," Journal of Experimental Political Science, Cambridge University Press, vol. 1(2), pages 120-131, January.
    3. Aronow, Peter M. & Baron, Jonathon & Pinson, Lauren, 2019. "A Note on Dropping Experimental Subjects who Fail a Manipulation Check," Political Analysis, Cambridge University Press, vol. 27(4), pages 572-589, October.
    4. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
    5. Yasmina Okan & Eric R. Stone & Wändi Bruine de Bruin, 2018. "Designing Graphs that Promote Both Risk Understanding and Behavior Change," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 929-946, May.
    6. Adam J. Berinsky & Michele F. Margolis & Michael W. Sances, 2014. "Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self‐Administered Surveys," American Journal of Political Science, John Wiley & Sons, vol. 58(3), pages 739-753, July.
    7. John V. Kane & Jason Barabas, 2019. "No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in Experiments," American Journal of Political Science, John Wiley & Sons, vol. 63(1), pages 234-249, January.
    8. repec:cup:judgdm:v:8:y:2013:i:3:p:236-249 is not listed on IDEAS
    9. Jacob M. Montgomery & Brendan Nyhan & Michelle Torres, 2018. "How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about It," American Journal of Political Science, John Wiley & Sons, vol. 62(3), pages 760-775, July.
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