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ETD Abstract Container

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Development and Validation of a Measure of Algorithm Aversion

Melick, Sarah
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1585170699327343

Abstract Details

2020, Master of Arts (MA), Bowling Green State University, Psychology/Industrial-Organizational.
Algorithm aversion is defined as the preference for expert judgment over mathematical probabilities when faced with a decision. Items were generated on the basis of this definition to examine individual differences in algorithm aversion. Content validation, and exploratory and confirmatory factor analyses were conducted. Decision making style, objective and subjective numeracy, and decision outcomes were examined for convergent, discriminant, and predictive validity of the resulting algorithm aversion scale. Relations with belief in science, belief in free will, belief in determinism, and belief in luck were explored. Overall, the scale demonstrated adequate reliability and factor structure, and appropriate relations with other constructs in the decision-making nomlogical network. The final scale is ten items appropriate for use in a variety of laboratory and field settings.
Scott Highhouse, PhD (Advisor)
Margaret Brooks, PhD (Committee Member)
Eric Dubow, PhD (Committee Member)
81 p.
Psychology
algorithm aversion; scale development; scale validation

Recommended Citations

Citations

  • Melick, S. (2020). Development and Validation of a Measure of Algorithm Aversion [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1585170699327343

    APA Style (7th edition)

  • Melick, Sarah. Development and Validation of a Measure of Algorithm Aversion. 2020. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1585170699327343.

    MLA Style (8th edition)

  • Melick, Sarah. "Development and Validation of a Measure of Algorithm Aversion." Master's thesis, Bowling Green State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1585170699327343

    Chicago Manual of Style (17th edition)

bgsu1585170699327343
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This open access ETD is published by Bowling Green State University and OhioLINK.