Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Annenberg Institute for… | 1 |
Grantee Submission | 1 |
Journal of Economic Education | 1 |
Journal of Educational… | 1 |
National High School Center | 1 |
Professional School Counseling | 1 |
Author
Publication Type
Reports - Research | 5 |
Journal Articles | 3 |
Information Analyses | 1 |
Numerical/Quantitative Data | 1 |
Reports - Descriptive | 1 |
Education Level
Elementary Secondary Education | 2 |
Higher Education | 2 |
Postsecondary Education | 2 |
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 12 | 1 |
Grade 9 | 1 |
High Schools | 1 |
Middle Schools | 1 |
More ▼ |
Audience
Counselors | 1 |
Researchers | 1 |
Location
Virginia | 7 |
California | 2 |
Florida | 2 |
Georgia | 2 |
Indiana | 2 |
North Carolina | 2 |
Pennsylvania | 2 |
South Carolina | 2 |
Arkansas | 1 |
Colorado | 1 |
Illinois | 1 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
Early Childhood Longitudinal… | 1 |
Woodcock Johnson Psycho… | 1 |
What Works Clearinghouse Rating
Tisha L. N. Emerson; KimMarie McGoldrick – Journal of Economic Education, 2024
Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…
Descriptors: Microeconomics, Student Attrition, Withdrawal (Education), Academic Persistence
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Luke W. Miratrix; Jasjeet S. Sekhon; Alexander G. Theodoridis; Luis F. Campos – Grantee Submission, 2018
The popularity of online surveys has increased the prominence of using weights that capture units' probabilities of inclusion for claims of representativeness. Yet, much uncertainty remains regarding how these weights should be employed in analysis of survey experiments: Should they be used or ignored? If they are used, which estimators are…
Descriptors: Online Surveys, Weighted Scores, Data Interpretation, Robustness (Statistics)
Monti, Jennifer D.; Pomerantz, Eva M.; Roisman, Glenn I. – Journal of Educational Psychology, 2014
Data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (N = 1,312) were analyzed to examine whether the adverse effects of early insensitive parenting on children's academic functioning can be offset by parents' later involvement in children's education. Observations of mothers' early…
Descriptors: Data Analysis, Parent Participation, Child Development, Child Rearing
Holcomb-McCoy, Cheryl; Gonzalez, Ileana; Johnston, Georgina – Professional School Counseling, 2009
This article examined school counselor dispositions (e.g., general self-efficacy, counselor self-efficacy, openness to change, commitment to counseling improvement/professional development) that predict data usage among K-12 professional school counselors. For the study, 130 professional school counselors from Maryland and Virginia completed the…
Descriptors: School Counselors, Elementary Secondary Education, Data, Decision Making
Herlihy, Corinne – National High School Center, 2007
The transition into high school is a critical point in the educational pipeline, and ninth-grade can be characterized as one of its leakiest junctures. This policy brief examines how some states and districts are currently easing the transition into high school for students. It focuses on five key challenges that states, districts and schools…
Descriptors: High Schools, Grade 9, Dropout Prevention, School Statistics
Educational Funding and Pupil Achievement: The Relationship between the Two Variables. Final Report.
Connors, Eugene T. – 1982
To determine whether a significant relationship exists between educational funding and pupil achievement as measured by Science Research Associates standardized test scores, the author of this study conducted a statistical analysis of the top one-third and bottom one-third of Virginia's 142 school districts. The 30 districts selected were chosen…
Descriptors: Academic Achievement, Correlation, Educational Finance, Elementary Secondary Education