Modeling local dependence in longitudinal IRT models

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Standard

Modeling local dependence in longitudinal IRT models. / Larsen, Maja Olsbjerg; Christensen, Karl Bang.

I: Behavior Research Methods, Bind 47, Nr. 4, 12.2015, s. 1413-1424.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Larsen, MO & Christensen, KB 2015, 'Modeling local dependence in longitudinal IRT models', Behavior Research Methods, bind 47, nr. 4, s. 1413-1424. https://doi.org/10.3758/s13428-014-0553-0

APA

Larsen, M. O., & Christensen, K. B. (2015). Modeling local dependence in longitudinal IRT models. Behavior Research Methods, 47(4), 1413-1424. https://doi.org/10.3758/s13428-014-0553-0

Vancouver

Larsen MO, Christensen KB. Modeling local dependence in longitudinal IRT models. Behavior Research Methods. 2015 dec.;47(4):1413-1424. https://doi.org/10.3758/s13428-014-0553-0

Author

Larsen, Maja Olsbjerg ; Christensen, Karl Bang. / Modeling local dependence in longitudinal IRT models. I: Behavior Research Methods. 2015 ; Bind 47, Nr. 4. s. 1413-1424.

Bibtex

@article{2e78d6a248c747389b073c8848fef0a0,
title = "Modeling local dependence in longitudinal IRT models",
abstract = "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.",
author = "Larsen, {Maja Olsbjerg} and Christensen, {Karl Bang}",
year = "2015",
month = dec,
doi = "10.3758/s13428-014-0553-0",
language = "English",
volume = "47",
pages = "1413--1424",
journal = "Behavior Research Methods",
issn = "1554-351X",
publisher = "Psychonomic Society, Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Modeling local dependence in longitudinal IRT models

AU - Larsen, Maja Olsbjerg

AU - Christensen, Karl Bang

PY - 2015/12

Y1 - 2015/12

N2 - 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.

AB - 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.

U2 - 10.3758/s13428-014-0553-0

DO - 10.3758/s13428-014-0553-0

M3 - Journal article

C2 - 25552424

VL - 47

SP - 1413

EP - 1424

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 4

ER -

ID: 129658745