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Psychologica Belgica
Article . 1998 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Psychologica Belgica
Article
License: CC BY
Data sources: UnpayWall
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Psychologica Belgica
Article . 1998
License: CC BY
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Modeling Local Item Dependencies in Item Response Theory

Authors: Tuerlinckx, Francis; De Boeck, Paul;

Modeling Local Item Dependencies in Item Response Theory

Abstract

In this paper, an introduction to some existing Item Response Theory (IRT) models for Local Item Dependencies (LIDs) is presented together with an application. First, four LID models introduced by Hoskens and De Boeck (1997) are discussed and a more general model is derived. Second, it is described in broad outline how these models can be estimated and tested statistically via a loglinear approach. Third, responses are examined on questions that cannot be understood by the respondents. For this purpose a Polish Questionnaire was used in which there was no clear indication in the items of which response (yes or no) had to be chosen. An interpretable dependency structure was found for the first part of the test, but it could not be validated for the entire test. In conclusion, the problems arc discussed that are inherent to the classical estimation and testing procedure when dealing with local item dependencies and some solutions are offered.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
gold