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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)
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
Bicer, Ali; Capraro, Robert M.; Capraro, Mary M. – International Journal of Mathematical Education in Science and Technology, 2018
The purpose of this paper is to demonstrate Hispanic students' mathematics achievement growth rate in Inclusive science, technology, engineering, and mathematics (STEM) high schools compared to Hispanic students' mathematics achievement growth rate in traditional public schools. Twenty-eight schools, 14 of which were Texas STEM (T-STEM) academies…
Descriptors: Hispanic American Students, STEM Education, Mathematics Achievement, Achievement Gains
Eickelmann, Birgit; Gerick, Julia; Koop, Christian – Education and Information Technologies, 2017
By means of an international comparison, the research presented in the article aims to identify supporting and hindering school level factors for the use of ICT in secondary school mathematics lessons. The relationship between ICT use and the performance of Grade 9 students in mathematics is examined and further integrated into a multi-level model…
Descriptors: Computer Uses in Education, Mathematics Instruction, Mathematics Achievement, Secondary School Mathematics
Analyzing the Achievement and Isolation of Immigrant and U.S.-Born Students: Insights from PISA 2012
Powers, Jeanne M.; Pivovarova, Margarita – Educational Policy, 2017
The 2016 Presidential election and the first months of the Trump administration have propelled immigration to the center of U.S. political debates. We use data from the Programme for International Student Assessment (PISA) 2012 to provide insights into the school experiences of high school-age immigrants and their U.S.-born peers. Our findings…
Descriptors: Immigrants, Academic Achievement, International Assessment, High School Students
Sebastian, James; Moon, Jeong-Mi; Cunningham, Matt – Educational Studies, 2017
This paper explores parental involvement using principal and parent survey reports to examine whether parents' involvement in their children's schools predicts academic achievement. Survey data from principals and parents of seven countries from the PISA 2012 database and hierarchical linear modelling were used to analyse between- and within-…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Tan, Cheng Yong – Cambridge Journal of Education, 2018
The present study examined indirect effects of principal leadership on the mathematics achievement of 254,475 15-year-old students from 10,313 schools in 32 OECD economies. Results showed that the students could be divided into three categories ("Disadvantaged," "Average," and "Privileged") differing in levels of…
Descriptors: Mathematics Achievement, Disadvantaged, Advantaged, Socioeconomic Status
Hodges, Jaret; McIntosh, Jason; Gentry, Marcia – Journal of Advanced Academics, 2017
High-potential students from low-income families are at an academic disadvantage compared with their more affluent peers. To address this issue, researchers have suggested novel approaches to mitigate gaps in student performance, including out-of-school enrichment programs. Longitudinal mixed effects modeling was used to analyze the growth of…
Descriptors: After School Programs, Enrichment Activities, Academic Achievement, High Achievement
Acar Güvendir, Meltem – International Journal for Mathematics Teaching and Learning, 2016
This study focused on the extrinsic and intrinsic motivation levels of eighth grade students and its relationship with their mathematical achievement. The participants of the study included 6,829 students who took TIMSS in 2011 and 239 mathematics teachers. The data obtained from the student and teacher questionnaires that are included in the…
Descriptors: Mathematics Achievement, Student Motivation, Locus of Control, Grade 8
Özdemir, Caner – European Educational Research Journal, 2016
This paper aims to discover the level of equity in the Turkish education system using maths outcomes of 15-year-old students in the Programme for International Student Assessment (PISA) exam. In order to do that, associations between various social background variables and student performance are analysed via multilevel models. Female pupils,…
Descriptors: Mathematics Instruction, Adolescents, Student Characteristics, Gender Differences
Yalcin, Seher; Demirtasli, Rahime Nükhet; Dibek, Munevver Ilgun; Yavuz, Hatice Cigdem – International Journal of Progressive Education, 2017
This study investigated effect of student- and school-level variables on mathematics achievement of fourth- and eighth-grade students using the Trends in International Mathematics and Science Study (TIMSS) 2011 data of Turkey. The common variables addressed in student and school questionnaires were compared. Due to nested structure of the TIMSS…
Descriptors: Foreign Countries, Teacher Characteristics, Student Characteristics, Elementary Secondary Education
Chiu, Ming Ming; Chow, Bonnie Wing-Yin; Joh, Sung Wook – Journal of Educational Psychology, 2017
Grouping similar students together within schools ("streaming") or classrooms ("tracking") based on past literacy skills (reported by parents), family socioeconomic status (SES) or reading attitudes might affect their reading achievement. Our multilevel analysis of the reading tests of 208,057 fourth-grade students across 40…
Descriptors: Track System (Education), Reading Achievement, Socioeconomic Status, Literacy
Usta, H. Gonca – Educational Sciences: Theory and Practice, 2016
This study aims to analyze the student and school level variables that affect students' self-efficacy levels in mathematics in China-Shanghai, Turkey, and Greece based on PISA 2012 results. In line with this purpose, the hierarchical linear regression model (HLM) was employed. The interschool variability is estimated at approximately 17% in…
Descriptors: Self Efficacy, Achievement Tests, Foreign Countries, Secondary School Students
Stormont, Melissa; Herman, Keith C.; Reinke, Wendy M.; King, Kathleen R.; Owens, Sarah – School Psychology Quarterly, 2015
The purpose of the study was to explore the effectiveness of a brief, feasible, and cost-effective universal screener for kindergarten readiness. The study examined whether teacher ratings of kindergarteners' academic, behavioral, and overall readiness at the beginning of the year were predictive of academic, emotional, and behavioral outcomes at…
Descriptors: Kindergarten, School Readiness, Statistical Analysis, Regression (Statistics)
Zuzovsky, Ruth – Large-scale Assessments in Education, 2013
Background: The association between frequent use of certain instructional practices in mathematics and science and learning outcomes in schools in low-, medium-, and high-achieving countries is the focus of this study. It not only looks at teaching practices "that work" (positively associated with achievement) but whether they…
Descriptors: Mathematics Instruction, Science Instruction, Teaching Methods, Mathematics Achievement
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