Investigation of the effect of parameter estimation and classification accuracy in mixture IRT models under different conditions
INTERNATIONAL JOURNAL OF ASSESSMENT TOOLS IN EDUCATION, cilt.9, sa.4, ss.1013-1029, 2022 (ESCI, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 9 Sayı: 4
- Basım Tarihi: 2022
- Doi Numarası: 10.21449/ijate.1164590
- Dergi Adı: INTERNATIONAL JOURNAL OF ASSESSMENT TOOLS IN EDUCATION
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), ERIC (Education Resources Information Center), TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.1013-1029
- Anahtar Kelimeler: Mixture Item Response, Theory Models, Maximum Likelihood, Estimation, Item Parameter Recovery, Classification Accuracy, Missing Data, Latent Class
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet