Scoring Rules and Decision Analysis Education
J. Eric Bickel ()
Additional contact information
J. Eric Bickel: Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, Texas 78712
Decision Analysis, 2010, vol. 7, issue 4, 346-357
Abstract:
Experiential learning is perhaps the most effective way to teach. One example is the scoring procedure used for exams in some decision analysis programs. Under this grading scheme, students take a multiple-choice exam, but rather than simply marking which answer they think is correct, they must assign a probability to each possible answer. The exam is then scored with a special scoring rule, under which students' best strategy is to avoid guessing and instead assign their true beliefs. Such a scoring function is known as a strictly proper scoring rule. In this paper, we discuss several different scoring rules and demonstrate how their use in testing situations provides insights for both students and instructors.
Keywords: scoring rules; education; probability assessment (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://dx.doi.org/10.1287/deca.1100.0184 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ordeca:v:7:y:2010:i:4:p:346-357
Access Statistics for this article
More articles in Decision Analysis from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().