Certainty Calibration
Certainty Calibration is a methodological framework within stated preference methods that adjusts stated certainty responses to align with empirically observed decision accuracy, thereby distinguishing itself from related elicitation techniques by formally correcting probabilistic inconsistencies in self-assessed confidence judgments.
21
Publications
1.4K
Citations
45
Authors
32
Institutions
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2017–2026
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University of Massachusetts Amherst
Amherst Center, United States
2 h-index
2 publications
92 citations
University of Kentucky
Lexington, United States
1 h-index
3 publications
1.1K citations

Illinois Wesleyan University
Bloomington, United States
1 h-index
1 publications
23 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
19 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
121 citations
Karlstad University
Karlstad, Sweden
1 h-index
1 publications
50 citations

US Forest Service
Washington, United States
1 h-index
1 publications
74 citations
University of Massachusetts Chan Medical School
Worcester, United States
1 h-index
1 publications
74 citations
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2 publications · 56 citations
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1 publications · 58 citations
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1 publications · 60 citations
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1 publications · 53 citations
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Repository · 1 publications · 18 citations
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