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Guo, Siwen; Li, Lingyan; Zhang, Danhui – Asia Pacific Education Review, 2018
Climate strength was first conceptualised in the organisational psychology literature as the within-group agreement on the perceptions of climate. In contrast to the deep study of climate level, climate strength has not been clarified by school climate research. The purpose of this cross-cultural study is to identify the main effect of…
Descriptors: Reading Instruction, Reading Achievement, Cross Cultural Studies, Hierarchical Linear Modeling
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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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Tan, Cheng Yong; Hew, Khe Foon – Educational Studies, 2017
The present study examined how access to home and school IT resources impacted student mathematics achievement. Data comprised 144,395 secondary school students from 7,308 schools in 22 developed economies who participated in the Programme for International Student Assessment (PISA) 2012. Results of hierarchical linear modelling showed that after…
Descriptors: Access to Computers, Educational Technology, Technology Uses in Education, Mathematics Achievement
Shin, Yongyun – Grantee Submission, 2013
Hierarchical organization of schooling in all nations insures that international large-scale assessment data are multilevel where students are nested within schools and schools are nested within nations. Longitudinal follow-up of these students adds an additional level. Hierarchical or multilevel models are appropriate to analyze such data. A…
Descriptors: Hierarchical Linear Modeling, Data Analysis, International Assessment, Predictor Variables
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Wu, Yin – International Education Studies, 2016
This study intends to compare and contrast student and school factors that are associated with students' mathematics self-efficacy in the United States and China. Using hierarchical linear regressions to analyze the Programme for International Student Assessment (PISA) 2012 data, this study compares math self-efficacy, achievement, and variables…
Descriptors: Mathematics Achievement, Self Efficacy, Mathematics Instruction, Socioeconomic Status
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Chu, Man-Wai; Babenko, Oksana; Cui, Ying; Leighton, Jacqueline P. – International Journal of Testing, 2014
The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…
Descriptors: Hierarchical Linear Modeling, Secondary School Students, Student Attitudes, Educational Environment
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Gándara, Fernanda; Randall, Jennifer – Education Policy Analysis Archives, 2015
This study investigates the relationship between school-level accountability practices and science achievement of 15-year-olds, across four counties: Australia, Korea, Portugal, and the United States. We used PISA 2006 data, since 2006 is the only administration that has focused on science. School-level accountability practices are here defined as…
Descriptors: Foreign Countries, Accountability, Science Achievement, Correlation
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Ma, Vania J.; Ma, Xin – International Journal of STEM Education, 2014
Background: As an effort to account for disparities in mathematics performance between American and East Asian middle school students, the present research aims to compare the relationship between learning styles (competitive and cooperative) and mathematics performance among middle school students between the USA and the three top-performing East…
Descriptors: Cognitive Style, Comparative Analysis, Mathematics Instruction, Mathematics Achievement
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Lee, Jihyun – Journal of Educational Psychology, 2014
This study investigates whether a common set of student attitudes and behavioral tendencies can account for academic achievement across different, especially high-performing, countries via analysis of the PISA 2009 international data set. The 13 countries examined are 5 of the top-performing Eastern countries/systems, namely Shanghai China, South…
Descriptors: Academic Achievement, High Achievement, Student Attitudes, Student Behavior
Yang, Ji Seung – ProQuest LLC, 2012
Nonlinear multilevel latent variable modeling has been suggested as an alternative to traditional hierarchical linear modeling to more properly handle measurement error and sampling error issues in contextual effects modeling. However, a nonlinear multilevel latent variable model requires significant computational effort because the estimation…
Descriptors: Hierarchical Linear Modeling, Computation, Maximum Likelihood Statistics, Mathematics
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Shin, Seon-Hi; Slater, Charles L.; Backhoff, Eduardo – Educational Administration Quarterly, 2013
This study compared PISA 2009 student reading literacy scores with principal perceptions across three countries with varying levels of student performance: Korea, Mexico, and the United States. Seventy-five countries participated in PISA 2009, which measured 15-year-old children's reading achievement and principal perceptions. The study explored…
Descriptors: Foreign Countries, Reading Achievement, Principals, Administrator Attitudes