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A Multidimensional Latent Trait Model for Measuring Learning and Change

Embretson, Susan E.·1991·Psychometrika

Abstract

A latent trait model is presented for the repeated measurement of ability based on a multidimensional conceptualization of the change process. A simplex structure is postulated to link item performance under a given measurement condition or occasion to initial ability and to one or more modifiabilities that represent individual differences in change. Since item discriminations are constrained to be equal within a measurement condition, the model belongs to the family of multidimensional Rasch models. Maximum likelihood estimators of the item parameters and abilities are derived, and an example provided that shows good recovery of both item and ability parameters. Properties of the model are explored, particularly for several classical issues in measuring change.

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Metadata

Authors
Embretson, S. E.
Venue
Psychometrika
Published
1991-09
Volume
56
Issue
3
Pages
495-515
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W1979178563
Cited by
293
References
0
FWCI
3.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Multidimensional Latent Trait Model for Measuring Learning and Change. https://app.cochat.ai/papers/10.1007/bf02294487
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Embretson, S. E. (1991). A Multidimensional Latent Trait Model for Measuring Learning and Change. Psychometrika. https://doi.org/10.1007/bf02294487

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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.