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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 Doç. Dr. Ezgi MOR
Kastamonu Üniversitesi, Türkiye
Devamını Göster
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
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü 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
Cilt No 15
Sayı 4
Sayfalar 229 / 240
Doi Numarası 10.29329/ijpe.2019.203.17
Makale Linki http://dx.doi.org/10.29329/ijpe.2019.203.17