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Dispositional Algorithm Aversion: A Criterion-Related Validity Study

Melick, Sarah R
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1636979970960342

Abstract Details

2021, Doctor of Philosophy (Ph.D.), Bowling Green State University, Psychology/Industrial-Organizational.
Dispositional Algorithm Aversion (DAA) is presented as the preference for expert judgment over mechanical judgment. Previous research suggests that the DAA measure is a reliable and potentially valid measure of this disposition (Melick, 2020). The present research examines the criterion-related validity of the DAA measure for predicting algorithm averse behavior. Participants (N = 500) were presented with self-report measures of DAA, personality, risk propensity, and decision style as well as basic demographic questions. Two weeks later, they were asked to engage in a college grade point average (GPA) prediction task for which they may tie their incentive to predictions made by either an algorithm or an admissions officer. Results indicate that DAA was positively related to preference for the admissions advisor over the algorithm (r = .14) and that DAA predicted algorithm-averse behavior over and above personality, risk propensity, and decision style.
Scott Highhouse, Ph.D. (Committee Chair)
Eric Dubow, Ph.D. (Committee Member)
Margaret Brooks, Ph.D. (Committee Member)
Jill Zeilstra-Ryalls, Ph.D. (Committee Member)
77 p.
Psychology
algorithm aversion; scale development; scale validation; criterion-related validity

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Citations

  • Melick, S. R. (2021). Dispositional Algorithm Aversion: A Criterion-Related Validity Study [Doctoral dissertation, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1636979970960342

    APA Style (7th edition)

  • Melick, Sarah. Dispositional Algorithm Aversion: A Criterion-Related Validity Study. 2021. Bowling Green State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1636979970960342.

    MLA Style (8th edition)

  • Melick, Sarah. "Dispositional Algorithm Aversion: A Criterion-Related Validity Study." Doctoral dissertation, Bowling Green State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1636979970960342

    Chicago Manual of Style (17th edition)

bgsu1636979970960342
208
© 2021, some rights reserved.Creative Commons License Dispositional Algorithm Aversion: A Criterion-Related Validity Study by Sarah R Melick is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Bowling Green State University and OhioLINK.