Reanalysis of the German PISA data. A comparison of different approaches for trend estimation with a particular emphasis on mode effects.

Autor/inn/en	Robitzsch, Alexander; Lüdtke, Oliver; Goldhammer, Frank; Kröhne, Ulf; Köller, Olaf
Titel	Reanalysis of the German PISA data. A comparison of different approaches for trend estimation with a particular emphasis on mode effects.
Quelle	In: Frontiers in psychology, 11 (2020) Art. 884, 17 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2); PDF als Volltext kostenfreie Datei (3) Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1664-1078
DOI	10.3389/fpsyg.2020.00884
URN	urn:nbn:de:0111-pedocs-232269
Schlagwörter	Methode; Skalierung; Test; Technologiebasiertes Testen; Entwicklung; Verfahren; Wirkungsforschung; PISA (Programme for International Student Assessment); Deutschland
Abstract	International large-scale assessments, such as the Program for International Student Assessment (PISA), are conducted to provide information on the effectiveness of education systems. In PISA, the target population of 15-year-old students is assessed every 3 years. Trends show whether competencies have changed in the countries between PISA cycles. In order to provide valid trend estimates, it is desirable to retain the same test conditions and statistical methods in all PISA cycles. In PISA 2015, however, the test mode changed from paper-based to computer-based tests, and the scaling method was changed. In this paper, we investigate the effects of these changes on trend estimation in PISA using German data from all PISA cycles (2000-2015). Our findings suggest that the change from paper-based to computer-based tests could have a severe impact on trend estimation but that the change of the scaling model did not substantially change the trend estimates.
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2021/3