A Comparison of IRT Model Combinations for Assessing Fit in a Mixed Format Elementary School Science Test

Autor/in	Yilmaz, Haci Bayram
Titel	A Comparison of IRT Model Combinations for Assessing Fit in a Mixed Format Elementary School Science Test
Quelle	In: International Electronic Journal of Elementary Education, 11 (2019) 5, S.539-545 (7 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1307-9298
Schlagwörter	Item Response Theory; Models; Goodness of Fit; Elementary School Science; Science Tests; Test Items; Foreign Countries; Elementary School Students; Test Format; Turkey + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Test content; Testaufgabe; Ausland; Testentwicklung; Türkei
Abstract	Open ended and multiple choice questions are commonly placed on the same tests; however, there is a discussion on the effects of using different item types on the test and item statistics. This study aims to compare model and item fit statistics in a mixed format test where multiple choice and constructed response items are used together. In this 25-item fourth grade science test administered to 2351 students in 35 schools in Turkey, items are calibrated separately and concurrently utilizing different IRT models. An important aspect of this study is that the effect of the calibration method on model and item fit is investigated on real data. Firstly, while the 1-, 2-, and 3-Parameter Logistic models are utilized to calibrate the binary coded items, the Graded Response Model and the Generalized Partial Credit Model are used to calibrate the open-ended ones. Then, combinations of dichotomous and polytomous models are employed concurrently. The results based on model comparisons revealed that the combination of the 3PL and the Graded Response Model produced the best fit statistics. (As Provided).
Anmerkungen	International Electronic Journal of Elementary Education. T&K Akademic Rosendalsvein 45, Oslo 1166, Norway. e-mail: iejee@iejee.com; Web site: https://www.iejee.com/index.php/IEJEE/index
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01