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Mean comparisons of many groups in the presence of DIF : An evaluation of linking and concurrent scaling approaches. / Robitzsch, Alexander; Lüdtke, Oliver.

In: Journal of Educational and Behavioral Statistics, 08.06.2021.

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Robitzsch, Alexander ; Lüdtke, Oliver. / Mean comparisons of many groups in the presence of DIF : An evaluation of linking and concurrent scaling approaches. In: Journal of Educational and Behavioral Statistics. 2021.

BibTeX

@article{698f62e03fe14d0d8e85c9490640963f,
title = "Mean comparisons of many groups in the presence of DIF: An evaluation of linking and concurrent scaling approaches",
abstract = "One of the primary goals of international large-scale assessments in education is the comparison of country means in student achievement. This article introduces a framework for discussing differential item functioning (DIF) for such mean comparisons. We compare three different linking methods: concurrent scaling based on full invariance, concurrent scaling based on partial invariance using the RMSD statistic, and robust and nonrobust linking approaches based on separate scaling. Furthermore, we analytically derive the bias in the country means of different linking methods in the presence of DIF. In a simulation study, we show that the partial invariance and robust linking approaches provide less biased country means than the full invariance approach in the case of biased items.",
keywords = "linking, differential item functioning, RMSD statistic, partial invariance, international large-scale assessments",
author = "Alexander Robitzsch and Oliver L{\"u}dtke",
year = "2021",
month = jun,
day = "8",
doi = "10.3102/10769986211017479",
language = "English",
journal = "Journal of Educational and Behavioral Statistics",
issn = "1076-9986",
publisher = "Sage",

}

RIS

TY - JOUR

T1 - Mean comparisons of many groups in the presence of DIF

T2 - An evaluation of linking and concurrent scaling approaches

AU - Robitzsch, Alexander

AU - Lüdtke, Oliver

PY - 2021/6/8

Y1 - 2021/6/8

N2 - One of the primary goals of international large-scale assessments in education is the comparison of country means in student achievement. This article introduces a framework for discussing differential item functioning (DIF) for such mean comparisons. We compare three different linking methods: concurrent scaling based on full invariance, concurrent scaling based on partial invariance using the RMSD statistic, and robust and nonrobust linking approaches based on separate scaling. Furthermore, we analytically derive the bias in the country means of different linking methods in the presence of DIF. In a simulation study, we show that the partial invariance and robust linking approaches provide less biased country means than the full invariance approach in the case of biased items.

AB - One of the primary goals of international large-scale assessments in education is the comparison of country means in student achievement. This article introduces a framework for discussing differential item functioning (DIF) for such mean comparisons. We compare three different linking methods: concurrent scaling based on full invariance, concurrent scaling based on partial invariance using the RMSD statistic, and robust and nonrobust linking approaches based on separate scaling. Furthermore, we analytically derive the bias in the country means of different linking methods in the presence of DIF. In a simulation study, we show that the partial invariance and robust linking approaches provide less biased country means than the full invariance approach in the case of biased items.

KW - linking

KW - differential item functioning

KW - RMSD statistic

KW - partial invariance

KW - international large-scale assessments

U2 - 10.3102/10769986211017479

DO - 10.3102/10769986211017479

M3 - Journal article

JO - Journal of Educational and Behavioral Statistics

JF - Journal of Educational and Behavioral Statistics

SN - 1076-9986

ER -

ID: 1648899