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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
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
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
Liqun Yin; Ummugul Bezirhan; Matthias von Davier – International Electronic Journal of Elementary Education, 2025
This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…
Descriptors: Multivariate Analysis, Cutting Scores, Achievement Tests, Foreign Countries
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
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
Toker, Turker; Green, Kathy – International Journal of Assessment Tools in Education, 2021
This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study -- 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics section. The research study focuses on the comparison of LCA and MRM to determine if results…
Descriptors: Multivariate Analysis, Structural Equation Models, Item Response Theory, Achievement Tests
Wu, Yi-Jhen; Kiefer, Sarah M.; Chen, Yi-Hsin – International Journal of School & Educational Psychology, 2020
Learning behavior of East Asian students has been debated due to their striking performance on international large-scale assessments. This study was a comparative study using latent class analysis to examine students' perceptions of learning strategies, students' reported learning strategy use, and the relationships between learning strategies and…
Descriptors: Learning Strategies, Self Efficacy, Cross Cultural Studies, Foreign Countries
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2018
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…
Descriptors: Statistical Analysis, Data, Comparative Analysis, Hierarchical Linear Modeling
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)
Pesando, Luca Maria – Education Economics, 2018
Using data from the 2012 Programme for International Student Assessment (PISA) for Italy, this paper investigates whether financial literacy skills play a role in shaping the value that high school students place on schooling. I hypothesize that higher financial literacy may foster students' awareness of the financial and non-financial benefits of…
Descriptors: High School Students, Money Management, Student Attitudes, Educational Attitudes
Grover, Raman K.; Ercikan, Kadriye – Applied Measurement in Education, 2017
In gender differential item functioning (DIF) research it is assumed that all members of a gender group have similar item response patterns and therefore generalizations from group level to subgroup and individual levels can be made accurately. However DIF items do not necessarily disadvantage every member of a gender group to the same degree,…
Descriptors: Gender Differences, Test Bias, Socioeconomic Status, Reading Achievement
Stenlund, Tova; Lyrén, Per-Erik; Eklöf, Hanna – European Journal of Psychology of Education, 2018
To be successful in a high-stakes testing situation is desirable for any test taker. It has been found that, beside content knowledge, test-taking behavior, such as risk-taking strategies, motivation, and test anxiety, is important for test performance. The purposes of the present study were to identify and group test takers with similar patterns…
Descriptors: High Stakes Tests, Testing, Test Anxiety, Risk
Yalcin, Seher – International Journal of Research in Education and Science, 2017
The purpose of this study was to identify the multilevel latent classes for reading, mathematics, and science success of the students, who participated in the Programme for International Student Assessment (PISA) 2012 from Turkey and to determine the predictive ability of: i) students' perseverance; ii) their openness to problem solving; iii)…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Koyuncu, Mahmut Sami; Erdemir, Aysenur – International Journal of Contemporary Educational Research, 2019
The aim of the study is to compare TIMSS 2011 proficiency levels with the proficiency levels defined by the researchers using cluster analysis for Turkey, Korean, Norway, and Morocco in 4th and 8 th grades in the fields of science and mathematics. Therefore, it is tried to be reached that these cut-off scores for each country can serve the…
Descriptors: Cutting Scores, Achievement Tests, Elementary Secondary Education, Foreign Countries