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Chang, Mido; Kim, Sunha; Bang, Hyejin – Educational Practice and Theory, 2021
This study examined the influences of teacher support and school environment on 10th graders' mathematics achievements, controlling for socioeconomic status, gender, and mathematics self-efficacy, and the differential influences of these factors for White and Black students in the USA. A sample of 8,682 White and 2,020 Black students who…
Descriptors: Teacher Influence, Mathematics Achievement, Racial Differences, African American Students
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Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
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Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
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Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
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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
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Sengul, Ozden; Zhang, Xiaoyun; Leroux, Audrey J. – International Journal of Educational Methodology, 2019
By using multi-level modeling, this study explores the impact of students' perception of the quality of the teacher-student relationship and family structure on student achievement after controlling for socioeconomic status (SES), school urbanicity, and school control. The data from 750 schools and 17,000 10th grade students were analyzed. Family…
Descriptors: Family Relationship, Academic Achievement, Teacher Attitudes, Hierarchical Linear Modeling
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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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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
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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
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Urick, Angela; Bowers, Alex J. – Journal of School Leadership, 2014
The purpose of this study is to examine the independent direct effects of student and principal perceptions of academic climate on student achievement in high school. To date, few studies have considered the influence of principal perceptions of academic climate on student achievement. In the present study, we test a set of two-level hierarchical…
Descriptors: Principals, High Schools, High School Students, Educational Environment
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Ishida, Kenji; Nakamuro, Makiko; Takenaka, Ayumi – Educational Studies in Japan: International Yearbook, 2016
In this study, we test the assimilation thesis by comparing the academic achievement between native students and first and second generation immigrant pupils. It is the first empirical study that systematically analyzes the native-immigrant achievement gap in Japan. Although numerous studies have examined the achievement gap, most of them are…
Descriptors: Foreign Countries, Immigrants, Academic Achievement, Acculturation
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Wade, Carol H.; Sonnert, Gerhard; Sadler, Philip M.; Hazari, Zahra – American Secondary Education, 2017
Using data from the first National study on high school preparation for college calculus success, the Factors Influencing College Success in Mathematics (FICSMath) project, this article connects student high school instructional experiences to college calculus performance. The findings reported here reveal that students were better prepared for…
Descriptors: Transitional Programs, Secondary School Mathematics, College Mathematics, Calculus
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West, John; Miller, Mary Lou; Myers, Jim; Norton, Timothy – Administrative Issues Journal: Connecting Education, Practice, and Research, 2015
Purpose, Scope, and Method of Study: The purpose of this study was to determine if a correlation exists between grade span for ninth grade and gains in math achievement test scores in 10th grade and 12th grade. A quantitative, longitudinal, correlational research design was employed to investigate the research questions. The population was high…
Descriptors: High School Students, Grade 9, Mathematics Achievement, Grouping (Instructional Purposes)
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Johansen, Vegard; Somby, Hege M. – Scandinavian Journal of Educational Research, 2016
This paper asks whether the Pupil Enterprise Programme (PEP) is a suitable working method for improving academic performance among pupils with special needs. Overall, 20% of pupils participate in PEP at some point during lower secondary school. Results from multilevel regression modelling indicate that pupils with special needs who have…
Descriptors: Program Effectiveness, Special Needs Students, Foreign Countries, Academic Achievement
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