Standard Errors for National Trends in International Large-Scale Assessments in the Case of Cross-National Differential Item Functioning.

Autor/inn/en	Sachse, Karoline A; Haag, Nicole
Titel	Standard Errors for National Trends in International Large-Scale Assessments in the Case of Cross-National Differential Item Functioning.
Quelle	In: Applied measurement in education, (2017) 2, S.102Infoseite zur Zeitschrift PDF als Volltext (1); PDF als Volltext (2) Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1080/08957347.2017.1283315
Abstract	Standard errors computed according to the operational practices of international large-scale assessment studies such as the Programme for International Student Assessment's (PISA) or the Trends in International Mathematics and Science Study (TIMSS) may be biased when cross-national differential item functioning (DIF) and item parameter drift are present. This bias may be somewhat reduced when cross-national DIF is correlated over study cycles, which is the case in PISA. This article reviews existing methods for calculating standard errors for national trends in international large-scale assessments and proposes a new method that takes into account the dependency of linking errors at different time points. We conducted a simulation study to compare the performance of the standard error estimators. The results showed that the newly suggested estimator outperformed the existing estimators as it estimated standard errors more accurately and efficiently across all simulated conditions. Implications for practical applications are discussed.
Erfasst von	OLC
Update	2023/3/07