A multidimensional latent trait model for measuring learning and change

Embretson, Susan E.

doi:10.1007/bf02294487

Cited by 223 publications

(230 citation statements)

References 17 publications

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“…9 looks very similar to the longitudinal Rasch models of Andersen (1985) and Embretson (1991) where items are locally independent across time points. Except that in Eq.…”

Section: Modeling Local Dependencementioning

confidence: 72%

“…When (6) in fact holds, then estimation can be done using simple multivariate extensions of the 2PL model. Such extensions have been considered for Rasch models (Andersen, 1985;Embretson, 1991;Adams et al, 1997).…”

Section: The Longitudinal 2pl Modelmentioning

confidence: 99%

“…Longitudinal extensions of IRT models have been proposed (Andersen, 1985;Embretson, 1991;Liu & Hedeker, 2006;Bousseboua & Mesbah 2010). Many of these impose an additional requirement of local independence across time points.…”

Section: Introductionmentioning

confidence: 99%

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Modeling local dependence in longitudinal IRT models

Olsbjerg

2015

Behav Res

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Measuring change in a latent variable over time is often done using the same instrument at several time points. This can lead to dependence between responses across time points for the same person yielding within person correlations that are stronger than what can be attributed to the latent variable. Ignoring this can lead to biased estimates of changes in the latent variable. In this paper we propose a method for modeling local dependence in the longitudinal 2PL model. It is based on the concept of item splitting, and makes it possible to correctly estimate change in the latent variable.

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“…9 looks very similar to the longitudinal Rasch models of Andersen (1985) and Embretson (1991) where items are locally independent across time points. Except that in Eq.…”

Section: Modeling Local Dependencementioning

confidence: 72%

Section: The Longitudinal 2pl Modelmentioning

confidence: 99%

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Modeling local dependence in longitudinal IRT models

Olsbjerg

2015

Behav Res

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“…Embretson (1992) was able to measure and validate cognitive modifiability by using an appropriate psychometric model for estimating individual differences in modifiability, based on a multidimensional Rasch model for measuring learning and change (Embretson, 1991). It might be possible to use a similar approach to measure revision scores, although these measurements are complicated by the fact that revision scores exist only for a subset of questions, those answered incorrectly.…”

Section: Dynamic Assessment Interpretationmentioning

confidence: 99%

Effect of Immediate Feedback and Revision on Psychometric Properties of Open‐ended Sentence‐completion Items

Attali

Powers

Hawthorn

2008

ETS Research Report Series

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Registered examinees for the GRE® General Test answered open‐ended sentence‐completion items. For half of the items, participants received immediate feedback on the correctness of their answers and up to two opportunities to revise their answers. A significant feedback‐and‐revision effect was found. Participants were able to correct many of their initial incorrect answers, resulting in higher revised scores. In addition, the reliability of the revised scores and their correlation with GRE verbal scores were higher. The possibility of using revision scores as a basis for measuring potential future learning is discussed.

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“…In some situations, subjects are assessed at multiple occasions, perhaps with the same set or a related set of items. Several articles have described applications and developments of IRT modeling to such longitudinal situations in psychology [Adams et al, 1997a, Anderson, 1985, Embretson, 1991, 2000, Fischer and Pononcy, 1994.…”

Section: Introductionmentioning

confidence: 99%

Application of Item Response Theory Models for Intensive Longitudinal Data

Hedeker

Mermelstein

Flay

2006

Models for Intensive Longitudinal Data

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SummaryItem Response Theory (IRT) models, also called latent trait models, have been extensively used in educational testing and psychological measurement. While an IRT model is essentially a mixed-effects regression model for longitudinal categorical data, use of IRT has been somewhat limited outside of education and psychology.In this chapter, we describe IRT models and some key developments in the IRT literature, and illustrate their application for intensive longitudinal data. In particular, we relate IRT models to mixed models and indicate how software for the latter can be used to estimate the IRT model parameters. Using Ecological Momentary Assessment (EMA) data from a study of adolescent smoking, we describe how IRT models can be used to address key questions in smoking research.

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A multidimensional latent trait model for measuring learning and change

Abstract: change measurement, Rasch models, test theory, simplex models,

Cited by 223 publications

References 17 publications

Modeling local dependence in longitudinal IRT models

Modeling local dependence in longitudinal IRT models

Effect of Immediate Feedback and Revision on Psychometric Properties of Open‐ended Sentence‐completion Items

Application of Item Response Theory Models for Intensive Longitudinal Data

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