Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 360 |
Since 2006 (last 20 years) | 1260 |
Descriptor
Source
Author
Marsh, Herbert W. | 8 |
Shaw, Emily J. | 6 |
Kobrin, Jennifer L. | 5 |
Arens, A. Katrin | 4 |
Bridgeman, Brent | 4 |
Guo, Jiesi | 4 |
Murayama, Kou | 4 |
Parker, Philip D. | 4 |
Pekrun, Reinhard | 4 |
Chandrasegaran, A. L. | 3 |
Dicke, Theresa | 3 |
More ▼ |
Publication Type
Education Level
Secondary Education | 1276 |
Middle Schools | 617 |
Junior High Schools | 565 |
Elementary Education | 486 |
High Schools | 450 |
Grade 8 | 403 |
Postsecondary Education | 158 |
Higher Education | 156 |
Grade 7 | 104 |
Intermediate Grades | 103 |
Grade 6 | 82 |
More ▼ |
Audience
Policymakers | 1 |
Researchers | 1 |
Location
Turkey | 74 |
Texas | 49 |
California | 36 |
Tennessee | 31 |
Georgia | 28 |
Nigeria | 27 |
Florida | 25 |
Illinois | 24 |
North Carolina | 22 |
Australia | 20 |
Arizona | 19 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 1 |
Meets WWC Standards with or without Reservations | 4 |
Does not meet standards | 7 |
Xiao, Leifeng; Hau, Kit-Tai – Educational and Psychological Measurement, 2023
We examined the performance of coefficient alpha and its potential competitors (ordinal alpha, omega total, Revelle's omega total [omega RT], omega hierarchical [omega h], greatest lower bound [GLB], and coefficient "H") with continuous and discrete data having different types of non-normality. Results showed the estimation bias was…
Descriptors: Statistical Bias, Statistical Analysis, Likert Scales, Statistical Distributions
Sales, Adam C.; Pane, John F. – International Educational Data Mining Society, 2020
The design of the Cognitive Tutor Algebra I (CTA1) intelligent tutoring system assumes that students work through sections of material following a pre-specified order, and only move on from one section to the next after mastering the first section's skills. However, the software gives teachers the flexibility to override that structure, by…
Descriptors: Student Placement, Intelligent Tutoring Systems, Algebra, Mathematics Instruction
Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
Stallasch, Sophie E.; Lüdtke, Oliver; Artelt, Cordula; Brunner, Martin – Journal of Research on Educational Effectiveness, 2021
To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous…
Descriptors: Foreign Countries, Randomized Controlled Trials, Intervention, Educational Research
Schweig, Jonathan; McEachin, Andrew; Kuhfeld, Megan; Mariano, Louis T.; Diliberti, Melissa Kay – RAND Corporation, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Jonathan Schweig; Andrew McEachin; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Robert Garlick; Joshua Hyman – Annenberg Institute for School Reform at Brown University, 2018
We use a natural experiment to evaluate sample selection correction methods' performance. In 2007, Michigan began requiring that all students take a college entrance exam, increasing the exam-taking rate from 64 to 99%. We apply different selection correction methods, using different sets of predictors, to the pre-policy exam score data. We then…
Descriptors: Quasiexperimental Design, Predictor Variables, College Entrance Examinations, Scores
Kumaravelu, G. – Journal on School Educational Technology, 2018
This study aims to find out whether there is any positive relationship among locus of control and academic achievement of High school students in Puducherry region from a study on 380 school students. Locus of control scale developed by Levenson (1973) was used to collect the data. Results revealed significant difference was not observed in…
Descriptors: Foreign Countries, High School Students, Locus of Control, Academic Achievement
Vaheoja, Monika; Verhelst, N. D.; Eggen, T.J.H.M. – European Journal of Science and Mathematics Education, 2019
In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participants and for different institutions in different Maths domains by evaluating the balance. Some…
Descriptors: Feedback (Response), Foreign Countries, Statistical Analysis, Scores
Larson, Nicole; O'Connell, Michael; Davey, Cynthia S.; Caspi, Caitlin; Kubik, Martha Y.; Nanney, Marilyn S. – Journal of School Health, 2017
Background: We examined whether there are differences in the presence of supports for student wellness promotion (1) between schools in city, suburban and rural locations and, (2) among rural schools, according to distance from a metropolitan center. Methods: The analysis was conducted in a sample of 309 secondary schools using 2012 Minnesota…
Descriptors: Wellness, Secondary School Students, Health Education, Rural Urban Differences
Putwain, David W.; Aveyard, Ben – School Psychology Quarterly, 2018
A well established finding is that the cognitive component of test anxiety (worry) is negatively related to examination performance. The present study examined how 3 self-beliefs (academic buoyancy, perceived control, and test competence) moderated the strength of the relationship between worry and examination performance in a sample of 270 final…
Descriptors: Test Anxiety, Secondary School Students, Self Concept, Correlation
Quesen, Sarah; Lane, Suzanne – Applied Measurement in Education, 2019
This study examined the effect of similar vs. dissimilar proficiency distributions on uniform DIF detection on a statewide eighth grade mathematics assessment. Results from the similar- and dissimilar-ability reference groups with an SWD focal group were compared for four models: logistic regression, hierarchical generalized linear model (HGLM),…
Descriptors: Test Items, Mathematics Tests, Grade 8, Item Response Theory
Ewing, Maureen; Wyatt, Jeff – College Board, 2017
Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP Exam based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara, & Millsap, 2006; Zhang, Patel, & Ewing, 2014a). For most…
Descriptors: Advanced Placement Programs, Aptitude Tests, High Schools, College Entrance Examinations
Inglés, Cándido J.; Martínez-Monteagudo, María C.; Pérez Fuentes, Maria C.; García-Fernández, José M.; Molero, María del Mar; Suriá-Martinez, Raquel; Gázquez, José J. – Educational Psychology, 2017
The aim of this study was to analyse the relationship among emotional intelligence (EI) and learning strategies, identifying different emotional intelligence profiles and determining possible statistically significant differences in learning strategies through the identified profiles. Thousand and seventy-one Spaniards secondary school students…
Descriptors: Emotional Intelligence, Learning Strategies, Secondary School Students, Questionnaires
Norqvist, Mathias – International Journal of Mathematical Education in Science and Technology, 2018
Studies in mathematics education often point to the necessity for students to engage in more cognitively demanding activities than just solving tasks by applying given solution methods. Previous studies have shown that students that engage in creative mathematically founded reasoning to construct a solution method, perform significantly better in…
Descriptors: Mathematics Instruction, Problem Solving, Secondary School Students, Secondary School Mathematics