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Autor/inn/en | Sachse, Karoline A.; Roppelt, Alexander; Haag, Nicole |
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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 |
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 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 |