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Showing 1 to 15 of 41 results Save | Export
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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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Aditi Bhutoria; Nayyaf Aljabri; Saheli Bose – International Journal of Child Care and Education Policy, 2025
This paper examines whether parental engagement in early childhood and preschooling act as substitutes, or whether their joint effect enhances students' learning outcomes. We utilize the TIMSS 2019 dataset and employ a hierarchical linear modeling (HLM) approach to analyze data from 52 countries, ensuring a robust examination of cross-national…
Descriptors: Early Childhood Education, Parenting Skills, Child Rearing, Preschool Children
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Lyu, Weicong; Kim, Jee-Seon; Suk, Youmi – Journal of Educational and Behavioral Statistics, 2023
This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…
Descriptors: Hierarchical Linear Modeling, Bayesian Statistics, Causal Models, Statistical Inference
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Pongsophon, Pongprapan – Science Education International, 2023
This study examined the factors that determined the science achievement of fourth-grade students on the Trends in International Mathematics and Science Study (TIMSS) 2019 in the USA. The data were retrieved from the TIMSS international database and imported to the R program for manipulation. The EdSurvey package was used to conduct multilevel…
Descriptors: Hierarchical Linear Modeling, Predictor Variables, Science Achievement, Elementary School Students
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Lorah, Julie – Large-scale Assessments in Education, 2018
Effect size reporting is crucial for interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models have not been provided. This report suggests and demonstrates appropriate effect size measures including the ICC for random effects and standardized regression…
Descriptors: Effect Size, Hierarchical Linear Modeling, Definitions, Regression (Statistics)
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Liou, Pey-Yan; Ho, Hsin-Ning Jessie – Research Papers in Education, 2018
The purpose of this study is to examine students' perceptions of instructional practices in the classroom, and to further investigate the relationships among instructional practices, motivational beliefs and science achievement. Hierarchical linear modelling was utilised to examine the Trends in International Mathematics and Science Study 2007…
Descriptors: Teaching Methods, Science Achievement, Self Concept, Correlation
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Saal, Petronella Elize; van Ryneveld, Linda; Graham, Marien Alet – International Journal of Instruction, 2019
In his State of the Nation address on 7 February 2019, the president of the Republic of South Africa. Mr. Cyril Ramaphosa, stated that the government would provide digital workbooks and textbooks to every school child in South Africa by 2025. (De Villiers, 2019). This announcement begs the question how effective the incorporation of Information…
Descriptors: Correlation, Information Technology, Mathematics Achievement, Foreign Countries
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Aru, Sidika Akyüz; Kale, Mustafa – Journal of Education and Training Studies, 2019
The overall aim of this study is to investigate the effect of school-related factors and early learning experiences on mathematics achievement. In this causal-comparative research, HLM analysis was performed on the data of 6378 students, their parents, and 241 school principals and primary school teachers. As a result of the HLM analysis, at the…
Descriptors: Instructional Effectiveness, Mathematics Instruction, Mathematics Achievement, Achievement Tests
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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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Sahin, Melek Gülsah; Öztürk, Nagihan Boztunç – International Electronic Journal of Elementary Education, 2018
In this study, it is aimed to examine the effect of classroom assessment on science and mathematics achievements. For this purpose, hierarchical linear modeling (HLM) is performed using variables of like learning science/maths, engage teaching in science/maths, confidence in science/maths, and home resources for learning variables at the student…
Descriptors: Science Achievement, Grade 4, Foreign Countries, Achievement Tests
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
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Tsai, Liang-Ting; Yang, Chih-Chien – International Journal of Science Education, 2015
This study was conducted to understand the effect of student-, classroom-, and school-level factors on the science performance of 8th-grade Taiwanese students in the Trends in International Mathematics and Science Study (TIMSS) 2011 by using multilevel analysis. A total of 5,042 students from 153 classrooms of 150 schools participated in the TIMSS…
Descriptors: Foreign Countries, Science Achievement, Questionnaires, Grade 8
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Butakor, Paul Kwame; Ampadu, Ernest; Cole, Yaa – African Journal of Research in Mathematics, Science and Technology Education, 2017
Educational effectiveness research has witnessed some growth in the last three decades because the current era of global competitiveness compels each country to train and equip its citizens with knowledge and skills that would make them successful. Researchers from different countries are investigating factors across various levels within the…
Descriptors: Foreign Countries, Mathematics Achievement, Context Effect, Performance Factors
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Liou, Pey-Yan – International Journal of Science Education, 2014
The purpose of this study is to examine the relationship between student self-concept and achievement in science in Taiwan based on the big-fish-little-pond effect (BFLPE) model using the Trends in International Mathematics and Science Study (TIMSS) 2003 and 2007 databases. Hierarchical linear modeling was used to examine the effects of the…
Descriptors: Foreign Countries, Science Achievement, Self Concept, Grade 8
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Huang, Haigen; Liang, Guodong – Journal of Educational Research, 2016
The authors' purpose was to examine the relationship between three forms of cultural capital--the embodied, the objectified, and the institutionalized--and student performance in mathematics and science. Their analysis of Trends in International Mathematics and Science Study 2011 data from 32 countries and regions revealed that parental…
Descriptors: Cultural Capital, Academic Achievement, Correlation, Mathematics Achievement
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