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Tzung-Ruei Tsou – SAGE Open, 2024
The importance of family background in determining a student's academic achievement has long been acknowledged by researchers. Nonetheless, the effect of schooling on this relationship has also been widely investigated. Some studies have shown that family background plays a far stronger role while the effect of schooling is minimal; others have…
Descriptors: Foreign Countries, Family Characteristics, Academic Achievement, Institutional Characteristics
Egan, Laura; Tang, Judy H.; Ferraro, David; Erberber, Ebru; Tsokodayi, Yemurai; Stearns, Pat – National Center for Education Statistics, 2022
Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at grades 4 and 8, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student achievement. TIMSS has…
Descriptors: Achievement Tests, Mathematics Achievement, International Assessment, Foreign Countries
Klingbeil, David A.; Osman, David J.; Van Norman, Ethan R.; Berry-Corie, Kimberly; Kim, Jessica S.; Schmitt, Madeline C.; Latham, Alexander D. – Reading & Writing Quarterly, 2023
Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…
Descriptors: Screening Tests, Reading Tests, Middle School Students, Identification
Martin, Michael O., Ed.; von Davier, Matthias, Ed.; Mullis, Ina V. S., Ed. – International Association for the Evaluation of Educational Achievement, 2020
The chapters in this online volume comprise the TIMSS & PIRLS International Study Center's technical report of the methods and procedures used to develop, implement, and report the results of TIMSS 2019. There were various technical challenges because TIMSS 2019 was the initial phase of the transition to eTIMSS, with approximately half the…
Descriptors: Foreign Countries, Elementary Secondary Education, Achievement Tests, International Assessment
Filiz, Enes; Öz, Ersoy – Journal of Baltic Science Education, 2019
Educational Data Mining (EDM) is an important tool in the field of classification of educational data that helps researchers and education planners analyse and model available educational data for specific needs such as developing educational strategies. Trends International Mathematics and Science Study (TIMSS) which is a notable study in…
Descriptors: Foreign Countries, Achievement Tests, Science Tests, International Assessment
Utomo, Dwi Priyo – International Journal of Education in Mathematics, Science and Technology, 2021
The aim of this research is to describe and explore the statistical literacy of middle school students in solving the Trends in International Mathematics and Science Study (TIMSS) problems. This research utilized the qualitative approach, with the research type being descriptive-explorative. The research subjects consisted of 6 Grade 8 students…
Descriptors: Statistics Education, Mathematics Skills, Knowledge Level, Problem Solving
Averett, Chris; Ferraro, David; Tang, Judy; Erberber, Ebru; Stearns, Pat – National Center for Education Statistics, 2018
The Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at the fourth and eighth grades, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student…
Descriptors: Foreign Countries, Achievement Tests, Mathematics Achievement, International Assessment
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Kuddar, Cagla; Cetin, Sevda – International Journal of Assessment Tools in Education, 2022
The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…
Descriptors: Mathematics Achievement, Structural Equation Models, Regression (Statistics), Achievement Tests
Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Foreign Countries, Measurement, Data Use, Educational Planning
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…
Descriptors: Foreign Countries, Measurement, Data Use, Educational Planning
Smith, Peter K.; Robinson, Susanne; Marchi, Barbara – International Journal of Developmental Science, 2016
There are four sources of large-scale self-report survey data on victim rates, cross-nationally. These are EU Kids Online, Global School Health Survey, Trends in International Mathematics and Science Study, and Health Behaviour of School-aged Children. There are some differences in methodology between these surveys, but all use pupil self-report…
Descriptors: Victims, Bullying, Achievement Tests, Elementary Secondary Education
Northwest Evaluation Association, 2016
Northwest Evaluation Association™ (NWEA™) is committed to providing partners with useful tools to help make inferences from the Measures of Academic Progress® (MAP®) interim assessment scores. Recently, NWEA completed a concordance study to connect the scales of the Pennsylvania System of School Assessment (PSSA) reading and math with those of the…
Descriptors: Scores, Inferences, Academic Achievement, Achievement Tests
Northwest Evaluation Association, 2016
Northwest Evaluation Association™ (NWEA™) is committed to providing partners with useful tools to help make inferences from the Measures of Academic Progress® (MAP®) interim assessment scores. Recently, NWEA completed a concordance study to connect the scales of the New York State Testing Program (NYSTP) reading and math with those of the MAP…
Descriptors: Scores, Inferences, Academic Achievement, Achievement Tests

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