Model Selection for Equating Testlet-Based Tests in the NEAT Design: An Empirical Study

Autor/inn/en	He, Wei; Li, Feifei; Wolfe, Edward W.; Mao, Xia
Titel	Model Selection for Equating Testlet-Based Tests in the NEAT Design: An Empirical Study
Quelle	(2012), (22 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Test Items; Equated Scores; Models; Item Response Theory; Comparative Analysis; Reading Tests + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Analogiemodell; Item-Response-Theorie; Lesetest
Abstract	For those tests solely composed of testlets, local item independency assumption tends to be violated. This study, by using empirical data from a large-scale state assessment program, was interested in investigates the effects of using different models on equating results under the non-equivalent group anchor-test (NEAT) design. Specifically, the primary purpose of this study was to apply the IRT true-score equating method to equating testlet-based tests using both testlet theory (TRT) model and bi-factor model. In addition, the equating results from using the TRT and bi-factor models were compared with those from using conventional dichotomous item response theory (IRT) models. The candidate models considered in this study included a series of conventional dichotomous IRT models, Testlet model, and bi-factor model. The results echoed with those in Lee et al. (2001) in that equating using models that can account for item dependency in general tend to yield closer equating relationship to the traditional equating methods than the conventional IRT models. Limitations and further studies were also discussed. (Contains 4 figures and 8 tables.) (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10