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Peer reviewed
Direct linkUmut 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
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
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
Download full textYetisir, 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
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
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
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
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
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
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
Topçu, Mustafa Sami; Arikan, Serkan; Erbilgin, Evrim – Australian Educational Researcher, 2015
The OECD's Programme for International Student Assessment (PISA) enables participating countries to monitor 15-year old students' progress in reading, mathematics, and science literacy. The present study investigates persistent factors that contribute to science performance of Turkish students in PISA 2006 and PISA 2009. Additionally, the study…
Descriptors: Foreign Countries, Science Achievement, Science Tests, Testing Programs
Han, Seong Won – Journal of Education and Work, 2017
This study examines the degree of association between students' STEM occupational expectations and between-country differences in public attitudes toward science and technology (S&T). This study focuses on public attitudes among two different populations: students and adults. Three-level Hierarchical Generalised Linear Models are employed to…
Descriptors: STEM Education, Career Choice, High School Students, Public Opinion
Lau, Kwok-chi; Lam, Terence Yuk-ping – International Journal of Science Education, 2017
This study analysed 10 top-performing regions in PISA 2015 on their science performances and instructional practices. The regions include Singapore, Japan, Estonia, Taipei, Finland, Macao, Canada, Hong Kong, China and Korea. The science performances of the 10 regions and their teaching practices are described and compared. The construct of…
Descriptors: Foreign Countries, Comparative Education, Educational Practices, Science Achievement
Zhang, Danhui; Liu, Luman – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study aims to investigate the impacts of information and communication technology (ICT) use on students' math and science achievements, with a special focus on examining the trends of these relationships over the past decade. Data from all five waves of the Program for International Student Assessment (PISA) from 2000 to 2012 were used.…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Achievement, Achievement Tests
Grabau, Larry J.; Ma, Xin – International Journal of Science Education, 2017
Using data from the 2006 Program for International Student Assessment (PISA), we explored nine aspects of science engagement (science self-efficacy, science self-concept, enjoyment of science, general interest in learning science, instrumental motivation for science, future-oriented science motivation, general value of science, personal value of…
Descriptors: Science Education, Learning Motivation, Learner Engagement, Science Achievement
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