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  4. THE MORE, THE BETTER? MISALIGNMENT BETWEEN ACTUAL AND PERCEIVED EFFICACY OF A DISAGGREGATE APPROACH TO MULTIPLE-CUE EVALUATIONS

THE MORE, THE BETTER? MISALIGNMENT BETWEEN ACTUAL AND PERCEIVED EFFICACY OF A DISAGGREGATE APPROACH TO MULTIPLE-CUE EVALUATIONS

File(s)
Zhang_cornell_0058O_12447.pdf (707.08 KB)
Permanent Link(s)
https://doi.org/10.7298/2zh4-ya16
https://hdl.handle.net/1813/117493
Collections
Cornell Theses and Dissertations
Author
Zhang, Xingruo
Abstract

When performing an evaluation involves assessing multiple items of information about a target, evaluators can choose between two opposing strategies: reviewing all target information at once and forming an overall evaluation (a holistic approach) or reviewing each item of information independently and combining these independent reviews into an overall evaluation (a disaggregate approach). In four incentivized, pre-registered, online studies (N = 1,708), we compared the accuracy of these opposing approaches and people’s beliefs about which approach yields more accurate estimates. Across two experiments using different evaluative domains, we demonstrated that people make more accurate estimates using a disaggregate (vs. holistic) approach. However, a survey revealed that people anticipate greater accuracy with a holistic approach. Critically, we found that a brief training on the “wisdom of crowds” increases people’s preference for a disaggregate approach. We contribute to research on the wisdom of crowds and intuitive preferences for information and averaging.

Description
40 pages
Date Issued
2025-05
Keywords
averaging
•
blinding
•
estimates
•
wisdom of crowds
Committee Chair
Fath, Sean
Committee Member
Lucas, Brian
Proudfoot, Devon
Degree Discipline
Industrial and Labor Relations
Degree Name
M.S., Industrial and Labor Relations
Degree Level
Master of Science
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16938356

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