Investigating Invariant Item Ordering Using Mokken Scale Analysis for Dichotomously Scored Items
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 06-2020
Kabul Tarihi Yayınlanma Tarihi 05-06-2020
Cilt / Sayı / Sayfa 16 / 3 / 84–96 DOI 10.29329/ijpe.2020.248.6
Makale Linki http://dx.doi.org/10.29329/ijpe.2020.248.6
UAK Araştırma Alanları
Eğitimde Ölçme ve Değerlendirme
Özet
Mokken models have recently started to become the preferred method of researchers from different fields in studies of nonparametric item response theory (NIRT). Despite increasing application of these models, some features of this type of modelling need further study and explanation. Invariant item ordering (IIO) is one of these areas, which the present study aims to exemplify using a real dataset and comparing the findings of different methods. The main purpose of this study is to check the IIO assumption for a large scale test by using different methods. Data relating to the high school placement test (applied in 2016) was investigated. The sample size was determined as being 250, which complies with NIRT. Two different methods have been used for dichotomous items in the IIO testing: rest-scores and P-matrix methods. The HT coefficients were also calculated in order to define the placement of item response functions. Findings show that the test battery is not suitable
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BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 8
Investigating Invariant Item Ordering Using Mokken Scale Analysis for Dichotomously Scored Items

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