Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computation | 2 |
| Educational Research | 2 |
| Intervention | 2 |
| Research Design | 2 |
| Sampling | 2 |
| Academic Achievement | 1 |
| Access to Information | 1 |
| Classrooms | 1 |
| Control Groups | 1 |
| Educational Researchers | 1 |
| Effect Size | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
Education Level
| Elementary Secondary Education | 2 |
| Grade 1 | 2 |
| Grade 2 | 2 |
| Grade 3 | 2 |
| Grade 5 | 2 |
| Grade 4 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Grade 9 | 1 |
| High Schools | 1 |
| More ▼ | |
Audience
Location
| Florida | 1 |
| North Carolina | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Deke, John; Dragoset, Lisa – Mathematica Policy Research, Inc., 2012
The regression discontinuity design (RDD) has the potential to yield findings with causal validity approaching that of the randomized controlled trial (RCT). However, Schochet (2008a) estimated that, on average, an RDD study of an education intervention would need to include three to four times as many schools or students as an RCT to produce…
Descriptors: Research Design, Elementary Secondary Education, Regression (Statistics), Educational Research
Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – Educational Evaluation and Policy Analysis, 2012
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Multivariate Analysis

Peer reviewed
Direct link
