The Comparison of Item Parameters Estimated From Parametric and Nonparametric Item Response Theory Models in Case of The Violance of Local Independence Assumption
Yazarlar (1)
Doç. Dr. Ezgi MOR Kastamonu Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
Dergi Adı International Journal of Progressive Education
Dergi ISSN 1554-5210
Dergi Tarandığı Indeksler Journals Indexed in Eric
Makale Dili İngilizce Basım Tarihi 08-2019
Kabul Tarihi Yayınlanma Tarihi 02-08-2019
Cilt / Sayı / Sayfa 15 / 4 / 229–240 DOI 10.29329/ijpe.2019.203.17
Makale Linki http://dx.doi.org/10.29329/ijpe.2019.203.17
UAK Araştırma Alanları
Eğitimde Ölçme ve Değerlendirme
Özet
Item response theory (IRT) has so many advantages than its precedent Classical Test Theory (CTT) such as non-changing item parameters, ability parameter estimations free from the items. However, in order to get these advantages, some assumptions should be met and they are; unidimensionality, normality and local independence. However, it is not always so easy to be met these assumptions by datasets. Especially when the normality of data is not provided, another approach for IRT can be applied, which is Non-Parametric Item Response Theory (NIRT). NIRT provides more flexible methods to scale datasets and it is used when the assumptions of Parametric Item Response Theory (PIRT) are not met at a satisfactory level. The assumption of local independence, is one of the situations in which NIRT can be used more effectively than PIRT. In this study, by using a real dataset, taken from TIMSS 2011, the effect of local dependence on the item parameters was investigated. With this goal, a dataset
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