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Sufficient Statistics and Latent Trait Models

Andersen, Erling B.·1977·Psychometrika

Abstract

For questionnaires with two answer categories, it has been proven in complete generality that if a minimal sufficient statistic exists for the individual parameter and if it is the same statistic for all values of the item parameters, then the raw score (or the number of correct answers) is the minimal sufficient statistic. It follows that the model must by of the Rasch type with logistic item characteristic curves and equal item-discriminating powers. This paper extends these results to multiple choice questionnaires. It is shown that the minimal sufficient statistic for the individual parameter is a function of the so-called score vector. It is also shown that the so-called equidistant scoring is the only scoring of a questionnaire that allows for a real valued sufficient statistic that is independent of the item parameters, if a certain ordering property for the sufficient statistic holds.

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Metadata

Authors
Andersen, E. B.
Venue
Psychometrika
Published
1977-03
Volume
42
Issue
1
Pages
69-81
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2104351701
Cited by
395
References
6
FWCI
5.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sufficient Statistics and Latent Trait Models. https://app.cochat.ai/papers/10.1007/bf02293746
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Andersen, E. B. (1977). Sufficient Statistics and Latent Trait Models. Psychometrika. https://doi.org/10.1007/bf02293746

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.