Modeling Local Item Dependence in C-Tests with the Loglinear Rasch Model

Autor/inn/en	Baghaei, Purya; Christensen, Karl Bang
Titel	Modeling Local Item Dependence in C-Tests with the Loglinear Rasch Model
Quelle	In: Language Testing, 40 (2023) 3, S.820-827 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Baghaei, Purya) ORCID (Christensen, Karl Bang)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0265-5322
DOI	10.1177/02655322231155109
Schlagwörter	Item Response Theory; Language Tests; Language Proficiency; Second Language Learning; Test Items; Psychometrics; Multiple Choice Tests; Reading Comprehension; Achievement Tests; Item Analysis + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Language test; Sprachtest; Language skill; Language skills; Sprachkompetenz; Zweitsprachenerwerb; Test content; Testaufgabe; Psychometry; Psychometrie; Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren; Leseverstehen; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Itemanalyse
Abstract	C-tests are gap-filling tests mainly used as rough and economical measures of second-language proficiency for placement and research purposes. A C-test usually consists of several short independent passages where the second half of every other word is deleted. Owing to their interdependent structure, C-test items violate the local independence assumption of IRT models. This poses some problems for IRT analysis of C-tests. A few strategies and psychometric models have been suggested and employed in the literature to circumvent the problem. In this research, a new psychometric model, namely, the loglinear Rasch model, is used for C-tests and the results are compared with the dichotomous Rasch model where local item dependence is ignored. Findings showed that the loglinear Rasch model fits significantly better than the dichotomous Rasch model. Examination of the locally dependent items did not reveal anything as regards their contents. However, it did reveal that 50% of the dependent items were adjacent items. Implications of the study for modeling local dependence in C-tests using different approaches are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01