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Anastasia Dimiski – Educational Research for Policy and Practice, 2025
This paper addresses the influence of ethnic and gender disparities on educational outcomes and recognizes the significance of maternal education in shaping students' academic achievements. The study aims to evaluate the efficacy of policies aimed at integrating maternal involvement in education among 15-year-old students from OECD countries.…
Descriptors: Equal Education, Achievement Tests, Scores, Test Bias
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Aksu, Gokhan; Reyhanlioglu Keceoglu, Cigdem – Eurasian Journal of Educational Research, 2019
Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…
Descriptors: Regression (Statistics), Data Collection, Information Retrieval, Predictor Variables
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Ginsburg, Herbert P.; Lee, Young-Sun; Pappas, Sandra – ZDM: The International Journal on Mathematics Education, 2016
This paper investigates the power of the computer guided clinical interview (CI) and new curriculum based measurement (CBM) measures to identify and help children at risk of low mathematics achievement. We use data from large numbers of children in Kindergarten through Grade 3 to investigate the construct validity of CBM risk categories. The basic…
Descriptors: Interviews, Curriculum Based Assessment, Evaluation Methods, At Risk Students
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Leblanc, Michael; Dufore, Emily; McDougal, James – Journal of Applied School Psychology, 2012
Cutscores for reading and math (general outcome measures) to predict passage on New York state-mandated assessments were created by using a freely available Excel workbook. The authors used linear regression to create the cutscores and diagnostic indicators were provided. A rationale and procedure for using this method is outlined. This method…
Descriptors: Academic Achievement, Regression (Statistics), School Personnel, Evaluation Methods
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Compton, Donald L.; Fuchs, Lynn S.; Fuchs, Douglas; Lambert, Warren; Hamlett, Carol – Journal of Learning Disabilities, 2012
The purpose of this study was to examine the cognitive and academic profiles associated with learning disability (LD) in reading comprehension, word reading, applied problems, and calculations. The goal was to assess the specificity hypothesis, in which unexpected underachievement associated with LD is represented in terms of distinctive patterns…
Descriptors: Reading Comprehension, Mathematics Education, Learning Disabilities, Short Term Memory
Davies, Todd Matthew – ProQuest LLC, 2012
This dissertation investigates the prevailing No Child Left Behind (NCLB) mandate as an effective platform to improve schools. The data compiled for use in this study represented 426 high schools in Pennsylvania and were retrieved from publicly accessible, state-sponsored sources. The statistical methodologies from the Pennsylvania Value-Added…
Descriptors: Educational Indicators, Accountability, Program Effectiveness, Federal Programs
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Abedi, Jamal – Journal of Applied Testing Technology, 2009
English language learners with disabilities (ELLWD) face many challenges in their academic career. Learning a new language and coping with their disabilities create obstacles in their academic progress. Variables relegating accessibility of assessments for students with disabilities and ELL students may seriously hinder the academic performance of…
Descriptors: Reading Achievement, Second Language Learning, Disabilities, Classification
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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And Others; Birenbaum, Menucha – Educational and Psychological Measurement, 1997
The agreement of diagnostic classifications from two parallel subtests assessing a mathematics skill with three levels of scoring was studied with 431 Arab Israeli 10th graders. Results indicate that, even when parallel form reliability is high, less agreement is apparent when performance is evaluated at the micro level. (SLD)
Descriptors: Arabs, Classification, Diagnostic Tests, Evaluation Methods
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Peterson, Paul E.; Llaudet, Elena – Education Next, 2007
On July 14, 2006, the U.S. Department of Education's National Center for Education Statistics (NCES) released a study that compared the performance in reading and math of 4th and 8th graders attending private and public schools. According to the NCES study, students attending private schools performed better than students attending public schools.…
Descriptors: Program Effectiveness, Grade 8, Grade 4, Student Characteristics
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