NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Location
Virginia1
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 1 to 15 of 18 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
Sisi Dong – ProQuest LLC, 2023
Cultural capital is a key term from the Social Reproduction Theory, and it is defined as the codes and practices that parents pass on to their children (Bourdieu, 1984). Previous empirical studies have confirmed the importance of cultural capital, and it is positively related to students' reading achievement (e.g., Kosutic, 2017; Noble &…
Descriptors: Elementary School Students, Parents, Reading Achievement, Cultural Capital
Peer reviewed Peer reviewed
Direct linkDirect link
Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Stapleton, Laura M.; Yang, Ji Seung; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2016
We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases,…
Descriptors: Multivariate Analysis, Factor Analysis, Validity, Models
Cain, Meghan K.; Zhang, Zhiyong; Yuan, Ke-Hai – Grantee Submission, 2017
Nonnormality of univariate data has been extensively examined previously (Blanca et al., 2013; Micceri, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of…
Descriptors: Multivariate Analysis, Probability, Statistical Distributions, Psychological Studies
Marquez, Jocabed G. – ProQuest LLC, 2018
The United States faces high demand for science, technology, engineering, or mathematics (STEM) professionals and a scarce supply of individuals who pursue STEM careers, especially minority populations in the U.S with proficiency in a language other than English. The primary goal of this research was to determine the impact of use of Spanish in…
Descriptors: Longitudinal Studies, Executive Function, Mathematics Achievement, Science Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Byrnes, James P.; Miller-Cotto, Dana; Wang, Aubrey H. – Journal of Cognition and Development, 2018
As the United States experiences greater income inequality, more and more students experience an early science achievement gap. This study tested several competing theoretical models of early science achievement with a longitudinal sample of 14,624 children who were followed from kindergarten entry to the end of 1st grade. To understand why and…
Descriptors: Cognitive Development, Grade 1, Elementary School Students, Kindergarten
Garwood, Justin D.; Varghese, Cheryl; Vernon-Feagans, Lynne – Journal of Early Intervention, 2017
Although evidence of negative associations between early literacy development and children's behavior problems exists, the field still lacks an understanding of the complicated links between these two areas. Children's gender has often not been included in much of the extant research as a potential moderating variable, yet gender differences may…
Descriptors: Behavior Problems, Hyperactivity, Attention Deficit Disorders, Child Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Vericker, Tracy C. – Health Education & Behavior, 2013
Childhood obesity is emerging as a considerable public health problem with no clear antidote. The school food environment is a potential intervention point for policy makers, with competitive food and beverage regulation as a possible policy lever. This research examines the link between competitive food and beverage availability in school and…
Descriptors: Obesity, Competition, Eating Habits, Food
Peer reviewed Peer reviewed
Direct linkDirect link
Bratter, Jenifer; Kimbro, Rachel Tolbert – Family Relations, 2013
Despite the recent growth in multiracial children among American children, we know very little about their well-being. Using the Early Childhood Longitudinal Study, Kindergarten Class (N?=?17,706), we evaluated the likelihood of living in poverty and near poverty for multiracial and monoracial children. Most multiracial groups have poverty or near…
Descriptors: Evidence, Kindergarten, Multiracial Persons, Poverty
Peer reviewed Peer reviewed
Direct linkDirect link
Ready, Douglas D.; Chu, Elizabeth M. – Early Education and Development, 2015
Previous research has established that student learning is influenced by how accurately teachers perceive student academic ability. But studies rarely investigate the degree to which inaccuracies in teacher perceptions exacerbate demographic inequality in academic ability. Using a sample of almost 14,000 children from the Early Childhood…
Descriptors: Preschool Teachers, Kindergarten, Teacher Attitudes, Academic Ability
Reynolds, Cathleen Carolyn – ProQuest LLC, 2014
Given the importance of federal legislation in combating educational inequities, particularly those in reading development, the identification of specific school-based variables that contribute to reading proficiency for struggling readers is paramount. While federal education policy, such as the No Child Left Behind (NCLB) Act of 2001 (2002)…
Descriptors: Literacy Education, Learner Engagement, Reading Strategies, Reading Difficulties
Peer reviewed Peer reviewed
Direct linkDirect link
Bassett, Hideko Hamada; Denham, Susanne; Wyatt, Todd M.; Warren-Khot, Heather Kiernan – Infant and Child Development, 2012
To aid in understanding preschoolers' self-regulation and refinement of measurement, we examined properties of a field-based assessment battery of preschooler's self-regulation, the Preschool Self-regulation Assessment (PSRA). The PSRA, which includes seven age-appropriate tasks that tap children's executive control, was administered to 313…
Descriptors: Preschool Children, Self Control, Executive Function, School Readiness
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Davis, Tomeka M. – Education Policy Analysis Archives, 2013
Market models of education reform predict that the growth of charter schools will infuse competition into the public school sector, forcing traditional public schools to improve the practices they engage in to educate students. Some scholars have criticized these models, arguing that competition from charter schools is unlikely to produce…
Descriptors: Charter Schools, Competition, Academic Achievement, School Choice
Peer reviewed Peer reviewed
Direct linkDirect link
Allua, Shane; Stapleton, Laura M.; Beretvas, S. Natasha – Educational and Psychological Measurement, 2008
When assessing latent mean differences, researchers frequently do not explore possible heterogeneity within their data sets. Sources of differences may be functions of a nested data structure or heterogeneity in the form of unobserved classes of observations defined by a difference in factor means. In this study, the use of multilevel structural…
Descriptors: Structural Equation Models, Item Response Theory, Social Sciences, Multivariate Analysis
Previous Page | Next Page »
Pages: 1  |  2