The DOI matches its Crossref record.
Admissible Probability Measurement Procedures
Abstract
Admissible probability measurement procedures utilize scoring systems with a very special property that guarantees that any student, at whatever level of knowledge or skill, can maximize his expected score if and only if he honestly reflects his degree-of-belief probabilities. Section 1 introduces the notion of a scoring system with the reproducing property and derives the necessary and sufficient condition for the case of a test item with just two possible answers. A method is given for generating a virtually inexhaustible number of scoring systems, both symmetric and asymmetric, with the reproducing property. A negative result concerning the existence of a certain subclass of reproducing scoring systems for the case of more than two possible answers is obtained. Whereas Section 1 is concerned with those instances in which the possible answers to a query are stated in the test itself, Section 2 is concerned with those instances in which the student himself must provide the possible answer(s). In this case, it is shown that a certain minor modification of a scoring system with the reproducing property yields the desired admissible probability measurement procedure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Strictly Proper Scoring Rules, Prediction, and Estimation
Gneiting, T., & Raftery, A. E. (2007) · Journal of the American Statistical Association · doi:10.1198/016214506000001437 · Cited by 5,793
The Comparison and Evaluation of Forecasters
DeGroot, M. H., & Fienberg, S. E. (1983) · The Statistician · doi:10.2307/2987588 · Cited by 604
Scoring Rules and the Evaluation of Probability Assessors
Winkler, R. L. (1969) · Journal of the American Statistical Association · doi:10.1080/01621459.1969.10501037 · Cited by 271
Some Comparisons Among Quadratic, Spherical, and Logarithmic Scoring Rules
Bickel, J. E. (2007) · Decision Analysis · doi:10.1287/deca.1070.0089 · Cited by 142
Scoring Rules and Decision Analysis Education
Bickel, J. E. (2010) · Decision Analysis · doi:10.1287/deca.1100.0184 · Cited by 31
Metadata
- Authors
- Shuford, E. H., Albert, A., & Massengill, H. E.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1966-06
- Volume
- 31
- Issue
- 2
- Pages
- 125-145
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W1987103639
- Cited by
- 257
- References
- 0
- FWCI
- 7.76
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Admissible Probability Measurement Procedures. https://app.cochat.ai/papers/10.1007/bf02289503
- The paper
- Shuford, E. H., Albert, A., & Massengill, H. E. (1966). Admissible Probability Measurement Procedures. Psychometrika. https://doi.org/10.1007/bf02289503
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.