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A General Latent Trait Model for Response Processes

Published online by Cambridge University Press:  01 January 2025

Susan Embretson (Whitely)
Susan Embretson (Whitely)*
Affiliation:
University of Kansas
*
Requests for reprints should be sent to Susan Embretson, Department of Psychology, University of Kansas, Lawrence, Kansas, 66045.
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Abstract

The purpose of the current paper is to propose a general multicomponent latent trait model (GLTM) for response processes. The proposed model combines the linear logistic latent trait (LLTM) with the multicomponent latent trait model (MLTM). As with both LLTM and MLTM, the general multicomponent latent trait model can be used to (1) test hypotheses about the theoretical variables that underlie response difficulty and (2) estimate parameters that describe test items by basic substantive properties. However, GLTM contains both component outcomes and complexity factors in a single model and may be applied to data that neither LLTM nor MLTM can handle. Joint maximum likelihood estimators are presented for the parameters of GLTM and an application to cognitive test items is described.

Keywords

latent trait modelsitem response theoryaptitude process model

Information

Type
Original Paper
Information
Psychometrika , Volume 49 , Issue 2 , June 1984 , pp. 175 - 186
Copyright
Copyright © 1984 The Psychometric Society

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Footnotes

This research was partially supported by the National Institute of Education grant number NIE-6-7-0156 to Susan Embretson (Whitely), principal investigator. However the opinions expressed herein do not necessarily reflect the position or policy of the National Institute of Education, and no official endorsement by the National Institute of Education should be inferred.

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