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Kaplan, David; Chen, Jianschen; Yavuz, Sinan; Lyu, Weicong – Grantee Submission, 2022
The purpose of this paper is to demonstrate and evaluate the use of "Bayesian dynamic borrowing"(Viele et al, in Pharm Stat 13:41-54, 2014) as a means of systematically utilizing historical information with specific applications to large-scale educational assessments. Dynamic borrowing via Bayesian hierarchical models is a special case…
Descriptors: Bayesian Statistics, Models, Prediction, Accuracy
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Rind, Irfan Ahmed; Ning, Bo – Journal of Educational Research, 2020
Shanghai is dubbed as a role model for science and mathematics education as its fifteen-year-olds have been outperforming all in the Program for International Student Assessment (PISA) since 2009. Shanghai's achievements are attributed to its interest in adopting innovative international trends in education and equally effectively implementing…
Descriptors: Science Process Skills, Thinking Skills, Prediction, Skill Development
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Anastasiou, Dimitris; Sideridis, Georgios D.; Keller, Clayton E. – Exceptionality, 2020
This study investigates the multivariate relationships among socioeconomic factors, special education coverage (SEC), and reading across countries participating in the Program for International Student Assessment (PISA). Three socioeconomic factors were considered: (a) gross national income per capita, (b) income inequality via the Gini index, and…
Descriptors: Socioeconomic Influences, Special Education, Income, Social Differences
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Güzeller, Cem Oktay; Eser, Mehmet Taha; Aksu, Gökhan – International Journal of Progressive Education, 2016
This study attempts to determine the factors affecting the mathematics achievement of students in Turkey based on data from the Programme for International Student Assessment 2012 and the correct classification ratio of the established model. The study used mathematics achievement as a dependent variable while sex, having a study room, preparation…
Descriptors: Foreign Countries, Mathematics Achievement, Secondary School Students, Grade 10
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Long, Haiying; Pang, Weiguo – Educational Research and Evaluation, 2016
This study examines direct and indirect effects of family socioeconomic status (SES) and parental expectations on adolescents' mathematics and problem-solving achievement in mainland China. SES here is composed of family wealth, home educational resources, and parental education. Over 5,000 ninth-grade students in 5 geographical districts of China…
Descriptors: Socioeconomic Status, Parent Aspiration, Grade 9, Parent Background
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Nagengast, Benjamin; Marsh, Herbert W. – Educational Psychology, 2011
Research on the relation between students' achievement (ACH) and their academic self-concept (ASC) has consistently shown a Big-Fish-Little-Pond-Effect (BFLPE); ASC is positively affected by individual ACH, but negatively affected by school-average ACH. Surprisingly, however, there are few good UK studies of the BFLPE and few anywhere in the world…
Descriptors: Correlation, Structural Equation Models, Foreign Countries, Self Concept
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Furno, Marilena – Journal of Educational and Behavioral Statistics, 2011
The article considers a test of specification for quantile regressions. The test relies on the increase of the objective function and the worsening of the fit when unnecessary constraints are imposed. It compares the objective functions of restricted and unrestricted models and, in its different formulations, it verifies (a) forecast ability, (b)…
Descriptors: Goodness of Fit, Statistical Inference, Regression (Statistics), Least Squares Statistics
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Nagengast, Benjamin; Marsh, Herbert W. – Journal of Educational Psychology, 2012
Being schooled with other high-achieving peers has a detrimental influence on students' self-perceptions: School-average and class-average achievement have a negative effect on academic self-concept and career aspirations--the big-fish-little-pond effect. Individual achievement, on the other hand, predicts academic self-concept and career…
Descriptors: Academic Achievement, Self Concept, Developed Nations, Developing Nations
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
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Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education