Madde Havuzu Özelliklerinin Yetenek Kestirimi ve Madde Havuzu Kullanımına Etkileri: Bir Simülasyon Çalışması

Year 2019, Volume: 34 Issue: 2, 473 - 486, 30.04.2019

Nagihan Boztunç Öztürk , Melek Gülşah Şahin

Abstract

Bireyselleştirilmiş bilgisayarlı test uygulaması için
madde havuzunun geliştirilmesi uzun ve zahmetli bir süreç gerektirmektedir. Bu süreç
hem maddi hem de zaman anlamında yorucu olabilir. Bu nedenle ‘Optimal bir madde
havuzu nasıl olmalıdır?, Bir madde havuzunda en az kaç madde yer almalıdır?’ gibi
sorularla sıklıkla karşılaşılmaktadır. Optimal bir madde havuzunda bulunması gereken
özellikler hakkında yapılan çalışmalar çeşitlilik göstermekle birlikte özellikle
madde havuzunun büyüklüğü ile ilgili bir fikir birliği sağlanamamıştır. Bu çalışmada;
farklı madde sayısına ve madde dağılımlarına sahip madde havuzlarının yetenek kestirimine
ve madde havuzlarının kullanımına etkisi incelenmiştir. Çalışmada 36 farklı madde
havuzu SimulCAT yazılımı kullanılarak üretilmiştir. 1000 birey kullanılarak tek
oturumluk CAT ortamları simüle ve çalışmada iki farklı sonlandırma kuralı kullanılmıştır.
Çalışmanın sonucu genel olarak ele alındığında madde havuzu büyüklüğü belli bir
büyüklüğe kadar arttıkça ölçme kesinliğinin arttığı, kullanılmayan madde sayısının
azaldığı görülmüştür. Sonuçlara b parametresi
özelinde bakıldığında madde havuzu büyüdükçe b parametresi dağılımının değerler üstündeki etkisinin azaldığı görülmüştür.

Keywords

Bireyselleştirilmiş bilgisayarlı test, madde havuzu kalitesi, madde havuzu büyüklüğü, madde havuzu kullanımı, yetenek kestirimi

Effects of Item Pool Characteristics on Ability Estimate and Item Pool Utilization: A Simulation Study

Abstract

Forming
an item pool for computerized adaptive testing requires a long and demanding process
that may be challenging, both in terms of time and cost. Therefore, one may come
across such questions as ‘How should an optimal item pool be?’ and/or ‘How many
items should exist in an item pool?’ Although research with regard to the features
to exist in an optimal item pool vary, there has been no consensus reached about
how big the item pool size should be. In the current study, the effect of different
item pool size and item distribution on ability estimation and item pool utilization
was analysed. 36 different item pools were generated through SimulCAT software.
Using 1,000 simulees, single session CAT environments were simulated and two different
termination rules were used in the study. Findings of the study indicated that as
the size of the item pool increased to a specific size, the precision of measurement
increased and the number of unused items decreased. By examining the results according
to b parameter, it was found that the
effect of b parameter distribution over
the results decreased.

Keywords

Computerized adaptive testing, item pool quality, item pool size, item pool utilization, ability estimation

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