Correlates of Communalities as Matching Variables in Differential Item Functioning Analyses

Öz

Farkl i leyen madde analizlerinde, birden fazla e leme desebeplerinin anla lmas na katk sa layabilir. Bu ba lamda, kullan labilecek ek e leme debir konudur. Bu çal ma, madde güçlüklerindeki ortak varyansla ili kili dekeni kullanmak, sorunun farkl i lemekenlerinin tespit edilmesi önemlikenlerin, farkl i leyen madde analizlerinde ekleme dekeni olarak kullan labilirli ini incelemektedir. Bu amaçla, Uluslararas Ö renci Ba ar De erlendirmeProgram (PISA) verileri incelenmi tir. Ö rencilerin okul dnda ö renme için harcad klar zaman, kullan labilir bir ekleme dekeni olarak tespit edilmi tir. Çok dekenli e leme yöntemiyle, bu dekenin baz sorulardaki farkl i lemeninsebebi olabilece i görülmü tür

Anahtar Kelimeler

• çok dekenli e leme, farkl i leyen madde analizi, lojistik regresyon, PISA

Kaynakça

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26. Denk yeterlik gruplar belirlemek üzere yap lan e le tirme, birden fazla e leme de kenine göre de yap labilir. Bu yöntemin, tek e leme de üstünlü ü vard r: 1) Yeterlik düzeyleri iki de birbirine daha benzer olacakt r. 2) Bir soruda, tek e leme de kene göre belirlendi inden, gruplar n yeterlikleri keni kullan ld nda tespit edilen farkl leyi , iki e leme de keni kullan lan F M analizinde görülmüyorsa, ikinci e leme de keninin gruplar aras ndaki performans farkl yla ili kili oldu u iddia edilebilir (Wu & Ercikan 2007).
27. Yöntem, Grisay ve Monseur’un (2007) çal mas nda kulland klar faktör çözümlemesine dayanmaktad r. Önerilen yöntemin i e yararl incelenmi tir. , PISA matematik s nav verileri kullan larak kinci e leme de kenini tespit etmek amac yla kullan lan faktör çözümlemesinde, gerekli veri, de de erleri, sorular n güçlük indisleridir. Bu indisler, her ülke için ayr ayr , ilgili ülke ö rencilerinin kenlerin sorulara verdikleri cevaplar kullan larak, Madde Tepki Kuram ’na (MTK) dayal kestirilmi tir.