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Rewarding Numbers

Quantification Premia and Evaluative Convergence

Bibliographic Data

ID2424148
AuthorsKatariina Mueller-Gastell (0000-0001-5134-4880, Stanford University, corresponding author)
Year2022
Volume8
Publication date2022-01-01
Open AccessYes
TypeARTICLE
VenueSocius Sociological Research for a Dynamic World (JOURNAL)
Journal identifiersISSN: 2378-0231 • E-ISSN: 2378-0231
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/23780231221103052
OpenAlexW4285153643
LanguageEN
Citations received1
References cited49

The author advances the theory that when evaluation bears high stakes and is subject to high uncertainty of quality, a greater presence of numbers in the evaluated materials positively influences the evaluator's assessment of the quality of the evaluated object and leads to less variance in the overall assessment of quality by evaluators. The author explores these ideas in a case study of the MacArthur Foundation's 2016-2017 $100 million winner-take-all grant competition for nonprofit organizations and tests them using judges' numeric scores and comments together with information from the application materials, tax records, and previous funding histories of the applicant organizations. In this competition, organizations that included more numbers of any kind in their application materials received on average higher scores. Furthermore, the independent judges on the nondeliberative panel were more likely to give the applicants similar scores. Quantification thus both carries a premium-it predicts higher scores-and produces evaluative convergence

Actuarial science · Competition (biology · Convergence (economics · Economics · Foundation (evidence · Object (grammar · Political science · Quality (philosophy · Subject (documents · Variance (accounting · Accounting and Organizational Management · Auditing, Earnings Management, Governance · Computer Science · Experimental Behavioral Economics Studies · Law · Psychology · Accounting · Artificial Intelligence

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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