Investigation of Multidimensional Scale Transformation Methods Applied to Multidimensional Tests According to Various Conditions

Year 2023, , 41 - 53, 28.06.2023

Yaşar Mehmet Zor

https://doi.org/10.17984/adyuebd.1239198

Cited By: 1

Abstract

The purpose of this study was to compare the equating errors of item and ability parameters obtained by performing scale transformation methods to two multidimensional test forms under various conditions. Sample size (1000-2000), common item ratio (20% and 40%), correlation between dimensions (0.1-0.5-0.9) and parameter estimation model (2PLM-3PLM) were taken as research conditions. Equating error (RMSE) was used to examine the accuracy of the scale transformation results. It was observed that the RMSE value generally decreased as the sample size and common item ratio increased and the correlation between dimensions decreased. Higher equating errors were obtained when the mean-sigma method was used. In the estimation of the discrimination parameter, lower RMSE values were obtained in 2PLM for all methods. In the estimation of difficulty and ability parameters, lower RMSE values were obtained in 2PLM for Stocking-Lord method and in 3PLM for mean-mean and mean-sigma methods.

Keywords

Multidimensionality, Scale transformation, Mean-mean, Mean-sigma, Stocking-lord, çok boyutluluk, ölçek dönüştürme, ortalama-ortalama, ortalama-sigma, Stocking-Lord

Çok Boyutlu Testlere Uygulanan Çok Boyutlu Ölçek Dönüştürme Yöntemlerinin Çeşitli Koşullara Göre İncelenmesi

Abstract

Bu çalışma kapsamında çok boyutlu iki test formuna çeşitli koşullar altında ölçek dönüştürme yapılıp, elde edilen madde ve yetenek parametrelerine ait eşitleme hatalarının karşılaştırılması amaçlanmıştır. Araştırma koşulları olarak örneklem büyüklüğü (1000-2000), ortak madde oranı (%20 ve %40), boyutlar arası korelasyon (0.1-0.5-0.9) ve parametre kestirim modeli (2PLM-3PLM) alınmıştır. Ölçek dönüştürme sonuçlarının doğruluğunu incelemek amacıyla eşitleme hatası (RMSE) kullanılmıştır. Örneklem büyüklüğü ve ortak madde oranı arttıkça ve boyutlar arası korelasyon azaldıkça RMSE değerinin genel olarak azaldığı görülmüştür. Ortalama-sigma yöntemi kullanıldığına daha yüksek eşitleme hataları elde edilmiştir. Ayırıcılık parametresinin kestiriminde tüm yöntemler için 2PLM’de daha düşük RMSE değerleri elde edilmiştir. Güçlük ve yetenek parametrelerinin kestiriminde Stocking-Lord yöntemi için 2PLM’de, ortalama-ortalama ve ortalama-sigma yöntemleri için 3PLM’de daha düşük RMSE değerleri elde edilmiştir.

Keywords

çok boyutluluk, ölçek dönüştürme, ortalama-ortalama, ortalama-sigma, Stocking-Lord

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