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No Child Left Behind Act 20012
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Showing 1 to 15 of 131 results Save | Export
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Pedro San Martin Soares – Journal of Psychoeducational Assessment, 2024
Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, International Assessment
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Chung Hyewon; Kim, Jung-In; Jung, Eunjin; Park, Soyoung – International Journal of Educational Psychology, 2022
The Program for International Student Assessment (PISA) aims to provide comparative data on 15-year-olds' academic performance and well-being. The purpose of the current study is to explore and compare the variables that predict the reading literacy and life satisfaction of U.S. and South Korean students. The random forest algorithm, which is a…
Descriptors: Comparative Education, Predictor Variables, Literacy, Life Satisfaction
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Dogan, Nuri; Hambleton, Ronald K.; Yurtcu, Meltem; Yavuz, Sinan – Cypriot Journal of Educational Sciences, 2018
Validity is one of the psychometric properties of the achievement tests. To determine the validity, one of the examination is item bias studies, which are based on differential item functioning (DIF) analyses and field experts' opinion. In this study, field experts were asked to estimate the DIF levels of the items to compare the estimations…
Descriptors: Test Bias, Comparative Analysis, Predictor Variables, Statistical Analysis
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
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Wong, Tracy K. Y.; Tao, Xi; Konishi, Chiaki – Issues in Educational Research, 2018
This study explored the extent to which teachers' instrumental (i.e., tangible aid to promote learning) and appraisal support (i.e., teacher feedback) enhanced students' achievement in mathematics. Participants included 13,950 fifteen-year-old Canadian students who participated in the 2012 Programme for International Student Assessment. Based on…
Descriptors: Mathematics Instruction, Mathematics Achievement, Feedback (Response), Regression (Statistics)
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Hernández, Maciel M.; Eisenberg, Nancy; Valiente, Carlos; Thompson, Marilyn S.; Spinrad, Tracy L.; Grimm, Kevin J.; VanSchyndel, Sarah K.; Berger, Rebecca H.; Silva, Kassondra M.; Pina, Armando A.; Southworth, Jody; Gal, Diana E. – Journal of Educational Psychology, 2018
We examined individual trajectories, across four time points, of children's (N = 301) expression of negative emotion in classroom settings and whether these trajectories predicted their observed school engagement, teacher-reported academic skills, and passage comprehension assessed with a standardized measure in first grade. In latent growth curve…
Descriptors: Kindergarten, Grade 1, Negative Attitudes, Emotional Response
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Ansari, Arya; Purtell, Kelly M. – Journal of Education for Students Placed at Risk, 2018
Using nationally representative data from the Family and Child Experiences Survey 2009 Cohort (n = 2,798), this study examined patterns of absenteeism and their consequences through the transition to kindergarten. Overall, children were less likely to be absent in kindergarten than from Head Start at ages 3 and 4. Absenteeism was fairly stable…
Descriptors: Attendance, Kindergarten, Disadvantaged Youth, Preschool Education
Ansari, Arya; Purtell, Kelly M. – Grantee Submission, 2018
Using nationally representative data from the Family and Child Experiences Survey 2009 Cohort (n = 2,798), this study examined patterns of absenteeism and their consequences through the transition to kindergarten. Overall, children were less likely to be absent in kindergarten than from Head Start at ages 3 and 4. Absenteeism was fairly stable…
Descriptors: Attendance, Kindergarten, Disadvantaged Youth, Preschool Education
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Gunderson, Elizabeth A.; Park, Daeun; Maloney, Erin A.; Beilock, Sian L.; Levine, Susan C. – Journal of Cognition and Development, 2018
School-entry math achievement is a strong predictor of math achievement through high school. We asked whether reciprocal relations among math achievement, math anxiety, and entity motivational frameworks (believing that ability is fixed and a focus on performance) can help explain these persistent individual differences. We assessed 1st and 2nd…
Descriptors: Mathematics Instruction, Mathematics Anxiety, Mathematics Achievement, Elementary School Students
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Yalcin, Seher – International Journal of Progressive Education, 2018
In this study, it is aimed to distinguish the reading skills of students participating in PISA 2015 application into multi-level latent classes at the student and country level. Furthermore, it is aimed to examine how the clusters emerged at country-level is predicted by variables as students have the information and communication technology (ICT)…
Descriptors: Reading Achievement, Reading Skills, Classification, Information Technology
Welcome, Simone E. – ProQuest LLC, 2017
The purpose for this cross-sectional, non-experimental explanatory quantitative research study was to explain the amount of variance in the High School Proficiency Assessment-11 Language Arts and Mathematics scores accounted for by the amount of instructional minutes at high schools in New Jersey. A proportional, stratified random sample which…
Descriptors: Grade 11, Language Arts, Mathematics Instruction, High School Students
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Petko, Dominik; Cantieni, Andrea; Prasse, Doreen – Journal of Educational Computing Research, 2017
In large-scale international assessments such as the Programme for International Student Assessment (PISA), the Trends in International Mathematics and Science Study (TIMSS), or the Progress in International Reading Study (PISA), research has struggled to find positive associations between the frequency of educational technology use in schools and…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Petscher, Yaacov; Al Otaiba, Stephanie; Wanzek, Jeanne; Rivas, Brenna; Jones, Francesca – Scientific Studies of Reading, 2017
An emerging body of research has evaluated the role of growth mindset in educational achievement, yet little work has focused on the unique role of mindset to standardized reading outcomes. Our study presents 4 key outcomes in a sample of 195 fourth-grade students. First, we evaluated the dimensionality of general and reading-specific mindset and…
Descriptors: Elementary School Students, Grade 4, Reading, Reading Comprehension
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Bonti, Eleni; Bampalou, Christina E.; Kouimtzi, Eleni M.; Kyritsis, Zacharias – Learning Disability Quarterly, 2018
The purpose of this study is to investigate the reasons why Greek young adults with Specific Learning Disabilities (SLD) seek learning assessments. The study sample consisted of 106 adults meeting Diagnostic and Statistical Manual of Mental Disorders criteria for SLD. Data were collected through self-report records (clinical interview) of adults…
Descriptors: Foreign Countries, Young Adults, Learning Disabilities, Mental Disorders
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Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
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