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Hasibe Yahsi Sari; Hulya Kelecioglu – International Journal of Assessment Tools in Education, 2025
The aim of the study is to examine the effect of polytomous item ratio on ability estimation in different conditions in multistage tests (MST) using mixed tests. The study is simulation-based research. In the PISA 2018 application, the ability parameters of the individuals and the item pool were created by using the item parameters estimated from…
Descriptors: Test Items, Test Format, Accuracy, Test Length
Ebru Dogruöz; Hülya Kelecioglu – International Journal of Assessment Tools in Education, 2024
In this research, multistage adaptive tests (MST) were compared according to sample size, panel pattern and module length for top-down and bottom-up test assembly methods. Within the scope of the research, data from PISA 2015 were used and simulation studies were conducted according to the parameters estimated from these data. Analysis results for…
Descriptors: Adaptive Testing, Test Construction, Foreign Countries, Achievement Tests
Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – Measurement: Interdisciplinary Research and Perspectives, 2020
Mixture Rasch (MixRasch) models conventionally assume normal distributions for latent ability. Previous research has shown that the assumption of normality is often unmet in educational and psychological measurement. When normality is assumed, asymmetry in the actual latent ability distribution has been shown to result in extraction of spurious…
Descriptors: Item Response Theory, Ability, Statistical Distributions, Sample Size
Wu, Margaret – OECD Publishing (NJ1), 2010
This paper makes an in-depth comparison of the PISA (OECD) and TIMSS (IEA) mathematics assessments conducted in 2003. First, a comparison of survey methodologies is presented, followed by an examination of the mathematics frameworks in the two studies. The methodologies and the frameworks in the two studies form the basis for providing…
Descriptors: Mathematics Achievement, Foreign Countries, Gender Differences, Comparative Analysis