NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)4
Since 2006 (last 20 years)13
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 16 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Culpepper, Steven Andrew; Park, Trevor – Journal of Educational and Behavioral Statistics, 2017
A latent multivariate regression model is developed that employs a generalized asymmetric Laplace (GAL) prior distribution for regression coefficients. The model is designed for high-dimensional applications where an approximate sparsity condition is satisfied, such that many regression coefficients are near zero after accounting for all the model…
Descriptors: Bayesian Statistics, Multivariate Analysis, Item Response Theory, Regression (Statistics)
Peer reviewed Peer reviewed
Direct linkDirect link
Paz-Baruch, Nurit – Journal for the Education of the Gifted, 2017
The Actiotope Model of Giftedness focuses on the interactions between the individual and the environment. Developing excellence requires educational and learning capitals that can support the individual in achieving a specific target. This study examined differences in the educational and learning capitals of students graded in three levels of…
Descriptors: Foreign Countries, Academically Gifted, Models, Human Capital
Assouline, Susan G.; Ihrig, Lori M.; Mahatmya, Duhita – Gifted Child Quarterly, 2017
High-potential students from underresourced rural schools face barriers that reduce options for academic advancement, which widens the excellence gap between them and their more affluent, but similar ability peers. The goal of this study was to investigate the effectiveness of an expanded above-level testing model to identify high-potential rural…
Descriptors: Achievement Gap, Talent Identification, Models, Admission Criteria
Peer reviewed Peer reviewed
Direct linkDirect link
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Arshavsky, Nina; Edmunds, Julie A.; Miller, Luke C.; Corritore, Matthew – School Effectiveness and School Improvement, 2014
This paper examines the relationship of the policies and practices employed by 3 high school reform models--Early College High Schools, Redesigned High Schools, and High Schools That Work--with student success in college preparatory mathematics courses by the end of the 10th grade. Data on policies and practices collected through a survey of…
Descriptors: College Preparation, Mathematics Instruction, Educational Policy, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Karakolidis, Anastasios; Pitsia, Vasiliki; Emvalotis, Anastassios – Themes in Science and Technology Education, 2016
The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status,…
Descriptors: Foreign Countries, Low Achievement, Mathematics Achievement, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Kadengye, Damazo T.; Ceulemans, Eva; Van Den Noortgate, Wim – Journal of Experimental Education, 2015
In educational environments, monitoring persons' progress over time may help teachers to evaluate the effectiveness of their teaching procedures. Electronic learning environments are increasingly being used as part of formal education and resulting datasets can be used to understand and to improve the environment. This study presents…
Descriptors: Electronic Learning, Educational Environment, Longitudinal Studies, Item Response Theory
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Online Submission, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Mathematics Achievement, Information Retrieval, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Bouhlila, Donia Smaali; Sellaouti, Fethi – Large-scale Assessments in Education, 2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…
Descriptors: Databases, Student Characteristics, Error of Measurement, Intervals
Peer reviewed Peer reviewed
Direct linkDirect link
Foster, Aroutis; Shah, Mamta – Journal of Educational Computing Research, 2015
There is a need for game-based learning frameworks that provide a lens for understanding learning experiences afforded in digital games. These frameworks should aim to facilitate game analyses, identification of learning opportunities, and support for learner experiences. This article uses the inquiry, communication, construction, and expression…
Descriptors: Educational Games, Computer Games, Computer Uses in Education, Learning Experience
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Journal of Education in Science, Environment and Health, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Information Retrieval, Data Analysis, Middle School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Shin, Yongyun; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2010
In organizational studies involving multiple levels, the association between a covariate and an outcome often differs at different levels of aggregation, giving rise to widespread interest in "contextual effects models." Such models partition the regression into within- and between-cluster components. The conventional approach uses each…
Descriptors: Academic Achievement, National Surveys, Computation, Inferences
Peer reviewed Peer reviewed
Direct linkDirect link
Furtak, Erin Marie; Alonzo, Alicia C. – Research in Science Education, 2010
The Trends in International Mathematics and Science Study (TIMSS) Video Study explored instructional practices in the United States (US) in comparison with other countries that ranked higher on the 1999 TIMSS assessment, and revealed that 8th grade science teachers in the US emphasize activities over content during lessons (Roth et al.…
Descriptors: Elementary School Science, Scientific Principles, Science Teachers, Grade 8
Ismail, Noor Azina; Cheng, Ang Guat – International Education Journal, 2005
Data from the Third International Mathematics and Science Study carried out in 1999 and canonical correlation analysis were used to investigate the effects of school inputs, environmental inputs and gender influence in the production of a joint educational production function in mathematics and science subjects for eighth grade students in…
Descriptors: Productivity, Academic Achievement, Multivariate Analysis, Correlation
Peer reviewed Peer reviewed
Reyes, Laurie Hart; Stanic, George M. A. – Journal for Research in Mathematics Education, 1988
Many black students, female students, and students of low socioeconomic status do not achieve up to their potential in mathematics. A model to explain group differences in performance is presented. Relevant research results are included, along with suggestions for future research to test the model. (PK)
Descriptors: Academic Achievement, Achievement Rating, Black Achievement, Elementary School Mathematics
Previous Page | Next Page ยป
Pages: 1  |  2