Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Age Differences | 2 |
Language Arts | 2 |
Predictor Variables | 2 |
Scores | 2 |
Standardized Tests | 2 |
Academic Achievement | 1 |
At Risk Students | 1 |
Attendance Patterns | 1 |
Body Weight | 1 |
Community Colleges | 1 |
Correlation | 1 |
More ▼ |
Author
Acevedo-Garcia, Dolores | 1 |
Arsenault, Lisa | 1 |
Aske, Denise Burke | 1 |
Bhalotra, Sarita | 1 |
Chomitz, Virginia Rall | 1 |
Curtin, Jenny | 1 |
Hurwitch, Bill | 1 |
Liu, Xiaodong | 1 |
Olson, Tom | 1 |
Publication Type
Journal Articles | 1 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 8 | 1 |
High Schools | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Two Year Colleges | 1 |
Audience
Location
Massachusetts | 2 |
Maine | 1 |
South Carolina | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Massachusetts Comprehensive… | 2 |
What Works Clearinghouse Rating
Aske, Denise Burke; Chomitz, Virginia Rall; Liu, Xiaodong; Arsenault, Lisa; Bhalotra, Sarita; Acevedo-Garcia, Dolores – Journal of School Health, 2018
Objectives: We examined the longitudinal relationship between cardiovascular fitness (CRF) and academic performance (AP) among students in a diverse public school district. Furthermore, we determined whether the relationship between CRF and AP varied by student sociodemographic characteristics. Methods: This study used data from 2005-2006 to…
Descriptors: Correlation, Body Weight, Socioeconomic Status, Physical Fitness
Curtin, Jenny; Hurwitch, Bill; Olson, Tom – National Center for Education Statistics, 2012
An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…
Descriptors: Databases, Educational Indicators, Predictor Variables, At Risk Students