Testlet-based multidimensional adaptive testing.

Autor/inn/en	Frey, Andreas; Seitz, Nicki-Nils; Brandt, Steffen
Titel	Testlet-based multidimensional adaptive testing.
Quelle	In: Frontiers in psychology, 7 (2016) Art. 1758, 14 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1664-1078
DOI	10.3389/fpsyg.2016.01758
Schlagwörter	Bildungsforschung; Adaptives Testen; Computer; Testen
Abstract	Multidimensional adaptive testing (MAT) is a highly efficient method for the simultaneous measurement of several latent traits. Currently, no psychometrically sound approach is available for the use of MAT in testlet-based tests. Testlets are sets of items sharing a common stimulus such as a graph or a text. They are frequently used in large operational testing programs like TOEFL, PISA, PIRLS, or NAEP. To make MAT accessible for such testing programs, we present a novel combination of MAT with a multidimensional generalization of the random effects testlet model (MAT-MTIRT). MAT-MTIRT compared to non-adaptive testing is examined for several combinations of testlet effect variances (0.0, 0.5, 1.0, and 1.5) and testlet sizes (3, 6, and 9 items) with a simulation study considering three ability dimensions with simple loading structure. MAT-MTIRT outperformed non-adaptive testing regarding the measurement precision of the ability estimates. Further, the measurement precision decreased when testlet effect variances and testlet sizes increased. The suggested combination of the MTIRT model therefore provides a solution to the substantial problems of testlet-based tests while keeping the length of the test within an acceptable range. (Orig.).
Erfasst von	Externer Selbsteintrag
Update	2017/3