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Selim Dasçioglu; Tuncay Ögretmen – International Journal of Assessment Tools in Education, 2024
The purpose of this research is to determine whether PISA 2018 mathematical literacy test items show a differential item functioning across countries. For this purpose, only the items in booklet number three were examined using the MIMIC method with Latent Class Analysis (LCA) approach. PISA 2018 tests are mostly developed in English. Therefore,…
Descriptors: Test Items, Item Analysis, Mathematics Tests, Literacy
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Ahmet Yildirim; Nizamettin Koç – International Journal of Assessment Tools in Education, 2024
The present research aims to examine whether the questions in the Program for the International Student Assessment (PISA) 2009 reading literacy instrument display differential item functioning (DIF) among the Turkish, French, and American samples based on univariate and multivariate matching techniques before and after the total score, which is…
Descriptors: Test Items, Item Analysis, Correlation, Error of Measurement
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Saaatcioglu, Fatima Munevver – International Journal of Assessment Tools in Education, 2022
The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. The data were collected from 953 students who participated in the PISA 2018 8th-grade financial literacy assessment in the USA. Latent Class Analysis (LCA) approach was used to identify the latent classes, and the data fit…
Descriptors: International Assessment, Achievement Tests, Secondary School Students, Gender Differences
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Cuellar, Edwin; Partchev, Ivailo; Zwitser, Robert; Bechger, Timo – Educational Assessment, Evaluation and Accountability, 2021
International large-scale assessment in education aims to compare educational achievement across many countries. Differences between countries in language, culture, and education give rise to differential item functioning (DIF). For many decades, DIF has been regarded as a nuisance and a threat to validity. In this paper, we take a different…
Descriptors: International Assessment, Academic Achievement, Test Bias, Achievement Tests
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Eser, Mehmet Taha; Çobanoglu Aktan, Derya – International Journal of Curriculum and Instruction, 2021
By applying educational data mining methods to big data related to large-scale exams, functional relationships are discovered in a basic sense and hidden pattern(s) can be revealed. Within the scope of the research, to show how the self-organizing map (SOM) method can be used in terms of educational data mining, how SOM differs from other…
Descriptors: Science Instruction, Scientific Literacy, Data Analysis, Artificial Intelligence
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Qiao, Xin; Jiao, Hong; He, Qiwei – Journal of Educational Measurement, 2023
Multiple group modeling is one of the methods to address the measurement noninvariance issue. Traditional studies on multiple group modeling have mainly focused on item responses. In computer-based assessments, joint modeling of response times and action counts with item responses helps estimate the latent speed and action levels in addition to…
Descriptors: Multivariate Analysis, Models, Item Response Theory, Statistical Distributions
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You, Hye Sun; Park, Sunyoung; Delgado, Cesar – Science Education, 2021
The purpose of this study is to examine the characteristics of US schools associated with two measures of scientific literacy (content knowledge and "procedural and epistemic" knowledge) using the 2015 Programme for International Student Assessment (PISA) data. Because outcomes are nested within students, and students within schools, a…
Descriptors: Scientific Literacy, Institutional Characteristics, Student Characteristics, Grades (Scholastic)