A Comparison of Linking Methods for Estimating National Trends in International Comparative Large-Scale Assessments in the Presence of Cross-national DIF

Autor/inn/en	Sachse, Karoline A.; Roppelt, Alexander; Haag, Nicole
Titel	A Comparison of Linking Methods for Estimating National Trends in International Comparative Large-Scale Assessments in the Presence of Cross-national DIF
Quelle	In: Journal of Educational Measurement, 53 (2016) 2, S.152-171 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12106
Schlagwörter	Comparative Analysis; Measurement; Test Bias; Simulation; Trend Analysis; Item Response Theory; National Competency Tests; Achievement Tests; Elementary Secondary Education; Foreign Countries; Mathematics Achievement; Mathematics Tests; International Assessment; Science Tests; Science Achievement; Secondary School Students; Evaluation Methods; Test Items; Error of Measurement; National Assessment of Educational Progress; Program for International Student Assessment; Trends in International Mathematics and Science Study + Suchen Sie Ihr Suchwort? Messverfahren; Testkritik; Simulation program; Simulationsprogramm; Trendanalyse; Item-Response-Theorie; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Ausland; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Sekundarschüler; Test content; Testaufgabe; Messfehler
Abstract	Trend estimation in international comparative large-scale assessments relies on measurement invariance between countries. However, cross-national differential item functioning (DIF) has been repeatedly documented. We ran a simulation study using national item parameters, which required trends to be computed separately for each country, to compare trend estimation performances to two linking methods employing international item parameters across several conditions. The trend estimates based on the national item parameters were more accurate than the trend estimates based on the international item parameters when cross-national DIF was present. Moreover, the use of fixed common item parameter calibrations led to biased trend estimates. The detection and elimination of DIF can reduce this bias but is also likely to increase the total error. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01