Analyzing the Dimensionality of Academic Motivation Scale Based on the Item Response Theory Models

Autor/inn/en	Kula Kartal, Seval; Kutlu, Omer
Titel	Analyzing the Dimensionality of Academic Motivation Scale Based on the Item Response Theory Models
Quelle	In: Eurasian Journal of Educational Research, (2020) 86, S.157-174 (18 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Kula Kartal, Seval) ORCID (Kutlu, Omer)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1302-597X
Schlagwörter	Learning Motivation; Measures (Individuals); Item Response Theory; College Students; Foreign Countries; Goodness of Fit; Turkey (Ankara); Academic Motivation Scale + Suchen Sie Ihr Suchwort? Motivation for studies; Lernmotivation; Messdaten; Item-Response-Theorie; Collegestudent; Ausland
Abstract	Purpose: This study aims to investigate the dimensionality of the Academic Motivation Scale items by depending on the graded response model, the generalized graded unfolding model, the bifactor model and the DIMTEST. Research Methods: The Academic Motivation Scale was implemented on 1858 students who were studying at Ankara University. The fit of models was examined based on the general, person and item level model data fit statistics that were produced by the models. Findings: It was found out that the bifactor model provided the most consistent results with the theoretical foundation underlying the items. The findings revealed that the generalized graded unfolding model and the bifactor model enabled better results than the graded response model concerning to the general model data fit. About item fit statistics, the models that provided the best fit were the bifactor model, the generalized graded unfolding model and the graded response model, respectively. The index values obtained based on the bifactor model also brought out the existence of a strong general dimension on which the scale items could be ordered. The results of DIMTEST analysis also supported that the scale items are multidimensional. Implications for Research and Practice: Researchers are recommended to estimate item parameters both on the general dimension and subscales of the Academic Motivation Scale by utilizing the bifactor model to obtain more reliable and valid item parameter estimations. In future studies, researchers can compare the models about dimensionality and monotonicity assumptions based on scales developed to measure different affective traits. (As Provided).
Anmerkungen	ANI Publishing Company. Kizilirmak Sokak 10/A Bakanliklar, Ankara, Turkey 06440. Tel: +90-312-425-8150; Fax: +90-312-425-8111; e-mail: aniyayincilik@aniyayincilik.com.tr; Web site: http://www.ejer.com.tr
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01