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Umut Atasever; Francis L. Huang; Leslie Rutkowski – Large-scale Assessments in Education, 2025
When analyzing large-scale assessments (LSAs) that use complex sampling designs, it is important to account for probability sampling using weights. However, the use of these weights in multilevel models has been widely debated, particularly regarding their application at different levels of the model. Yet, no consensus has been reached on the best…
Descriptors: Mathematics Tests, International Assessment, Elementary Secondary Education, Foreign Countries
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Zhou, Hao; Ma, Xin – Sociological Methods & Research, 2023
Hierarchical linear modeling (HLM) is often used to estimate the effects of socioeconomic status (SES) on academic achievement at different levels of an educational system. However, if a prior academic achievement measure is missing in a HLM model, biased estimates may occur on the effects of student SES and school SES. Phantom effects describe…
Descriptors: Simulation, Hierarchical Linear Modeling, Socioeconomic Status, Institutional Characteristics
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F. Sehkar Fayda-Kinik; Munevver Cetin – Journal of Computer Assisted Learning, 2025
Background: The unprecedented access to information in the 21st century entails a deep understanding of information and communication technology (ICT)-related factors in education and their impacts on learning and teaching. The role of attitudes towards ICT is a proven factor in student achievement. However, there is no consensus about the…
Descriptors: Information Technology, Technology Uses in Education, Academic Achievement, Secondary Education
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Courtney, Matthew; Karakus, Mehmet; Ersozlu, Zara; Nurumov, Kaidar – Large-scale Assessments in Education, 2022
This study analyzed the latest four PISA surveys, 2009, 2012, 2015, and 2018, to explore the association between students' ICT-related use and math and science performance. Using ICT Engagement Theory as a theoretical framework and a three-level hierarchical linear modeling approach, while controlling for confounding effects, ICT-related…
Descriptors: Technology Uses in Education, Student Attitudes, Mathematics Achievement, Science Achievement
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Yetisir, Mehmet Ikbal; Bati, Kaan – International Journal of Psychology and Educational Studies, 2021
The Program for International Student Assessment (PISA) is a research project conducted by the Organization for Economic Co-operation and Development, which evaluates the knowledge and skills gained by 15-year-old students over three-year terms. Within this study's' scope, the PISA 2015 data were analysed to determine whether school-related…
Descriptors: School Effectiveness, Student Characteristics, Foreign Countries, Achievement Tests
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Cairns, Dean; Areepattamannil, Shaljan – Research in Science Education, 2019
This study, drawing on data from the third cycle of the Program for International Student Assessment (PISA) and employing three-level hierarchical linear modeling (HLM) as an analytic strategy, examined the relations of inquiry-based science teaching to science achievement and dispositions toward science among 170,474 15-year-old students from…
Descriptors: Inquiry, Teaching Methods, Science Instruction, Science Achievement
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Karakolidis, Anastasios; Pitsia, Vasiliki; Emvalotis, Anastassios – International Journal of Science Education, 2019
The importance of motivation-related factors in shaping students' academic achievement across a range of areas, including science, has been consistently acknowledged by the existing research literature. In an effort to improve students' science achievement, many education systems put particular emphasis on the enhancement of intrinsic (i.e.…
Descriptors: Low Achievement, Science Instruction, Student Role, Epistemology
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Huang, Haigen; Zhu, Hao – Mid-Western Educational Researcher, 2017
The purpose of this study was to examine whether school disciplinary climate and grit predicted low socioeconomic status (SES) students being high achievers in mathematics and science with a representative sample of 15-year-old students in the United States. Our analysis, using a two-level logistic hierarchical linear model (HLM), indicated both…
Descriptors: High Achievement, Socioeconomic Status, Low Income Students, Mathematics Achievement
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Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Phillips, Alison; Moore, Tamara J. – School Science and Mathematics, 2016
Hierarchical linear models have become a familiar method for accounting for a hierarchical data structure in studies of science and mathematics achievement. This paper illustrates the use of cross-classified random effects models (CCREMs), which are likely less familiar. The defining characteristic of CCREMs is a hierarchical data structure…
Descriptors: Mathematics Achievement, Mathematics Instruction, Hierarchical Linear Modeling, Mathematics Curriculum
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Tsai, Shu-Ling; Smith, Michael L.; Hauser, Robert M. – Sociology of Education, 2017
This article examines inequality in different dimensions of student academic achievement (math, science, and reading) by family background and school context in three East Asian (Taiwan, Japan, and South Korea) and three Western (United States, Germany, and the Czech Republic) nations. Building on Hauser (2009), we develop a novel…
Descriptors: Foreign Countries, Comparative Education, Academic Achievement, Mathematics Achievement
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Huang, Jiali; Tang, Yipeng; He, Wenjie; Li, Qiong – Asia Pacific Journal of Education, 2019
This study examines the relationship between key elements of the School Excellence Model (SEM) and student achievement in reading, mathematics and science as measured by the Programme for International Student Assessment (PISA) 2012 and the Teaching and Learning International Survey (TALIS) 2013, using a sample of 166 schools in Singapore.…
Descriptors: Foreign Countries, Models, Academic Achievement, Evidence
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Wilson, Christopher D.; Reichsman, Frieda; Mutch-Jones, Karen; Gardner, April; Marchi, Lisa; Kowalski, Susan; Lord, Trudi; Dorsey, Chad – Journal of Science Education and Technology, 2018
Research-based digital games hold great potential to be effective tools in supporting next-generation science learning. However, as with all instructional materials, teachers significantly influence their implementation and contribute to their effectiveness. To more fully understand the contributions and challenges of teacher implementation of…
Descriptors: Curriculum Implementation, Educational Games, Science Materials, Science Curriculum
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Pizmony-Levy, Oren; Bjorklund, Peter, Jr. – Oxford Review of Education, 2018
One of the overarching goals of international large-scale assessments (ILSA) is to inform public discourse about the quality of education in different countries. To fulfil this function, the Organisation for Economic Co-operation and Development (OECD), for example, raises awareness of the Program for International Student Assessment (PISA)…
Descriptors: International Assessment, Evidence, National Surveys, Public Opinion
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Wang, Cheng-Lung; Liou, Pey-Yan – International Journal of Science Education, 2017
Taiwanese students are featured as having high academic achievement but low motivational beliefs according to the serial results of the Trends in Mathematics and Science Study (TIMSS). Moreover, given that the role of context has become more important in the development of academic motivation theory, this study aimed to examine the relationship…
Descriptors: Student Motivation, Science Education, Science Achievement, Foreign Countries
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Maya Israel; Shuai Wang; Matthew T. Marino – Journal of Research in Science Teaching, 2016
Extant research reports differential effects related to the efficacy of video games as a means to enhance science instruction. However, there are very few studies examining differences in learning outcomes across student-level independent variables. This study used multilevel modeling to examine the effects of three video game-enhanced life…
Descriptors: Biological Sciences, Video Games, Learning Disabilities, Reading Ability
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