Item parameter recovery via traditional 2PL, Testlet and Bi-factor models for Testlet-Based tests

Basit Öğe Kaydı
dc.authoridsoysal, sumeyra/0000-0002-7304-1722
dc.contributor.authorSoysal, Sumeyra
dc.contributor.authorKogar, Esin Yilmaz
dc.date.accessioned2024-11-07T13:32:14Z
dc.date.available2024-11-07T13:32:14Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe testlet comprises a set of items based on a common stimulus. When the testlet is used in the tests, there may violate the local independence assumption, and in this case, it would not be appropriate to use traditional item response theory models in the tests in which the testlet is included. When the testlet is discussed, one of the most frequently used models is the testlet response theory (TRT) model. In addition, the bi-factor model and traditional 2PL models are also used for testlet-based tests. This study aims to examine the item parameters estimated by these three calibration models of the data properties produced under different conditions and to compare the performances of the models. For this purpose, data were generated under three conditions: sample size (500, 1000, and 2000), testlet variance (.25, .50, and 1), and testlet size (4 and 10). For each simulation condition, the number of items in the test was fixed at i = 40 and 100 replications were made under each condition. Among these models, it was concluded that the TRT model gave less biased results than the other two models, but the results of the bi-factor model and the TRT were more similar as the sample size increased. Among the examined conditions, it was determined that the most effective variable in parameter recovery was the sample size.
dc.identifier.doi10.21449/ijate.948182
dc.identifier.endpage266
dc.identifier.issn2148-7456
dc.identifier.issue1
dc.identifier.startpage254
dc.identifier.trdizinid1125669
dc.identifier.urihttps://doi.org/10.21449/ijate.948182
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1125669
dc.identifier.urihttps://hdl.handle.net/11480/15304
dc.identifier.volume9
dc.identifier.wosWOS:000763010900014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherIjate-Int Journal Assessment Tools Education
dc.relation.ispartofInternational Journal of Assessment Tools in Education
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectLocal dependence
dc.subjectTestlet model
dc.subjectBi-factor model
dc.subjectRandom effect parameter
dc.subjectParameter recovery
dc.titleItem parameter recovery via traditional 2PL, Testlet and Bi-factor models for Testlet-Based tests
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
TR-Dizin İndeksli Yayınlar Koleksiyonu