Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 2 |
Descriptor
Accuracy | 2 |
Computation | 2 |
Statistical Bias | 2 |
Statistical Inference | 2 |
Causal Models | 1 |
Comparative Analysis | 1 |
Educational Attainment | 1 |
Error of Measurement | 1 |
Expectation | 1 |
Grade 10 | 1 |
High School Students | 1 |
More ▼ |
Source
Journal of Experimental… | 1 |
MDRC | 1 |
Author
Bai, Haiyan | 1 |
Bloom, Howard S. | 1 |
Porter, Kristin E. | 1 |
Reardon, Sean F. | 1 |
Robinson-Cimpian, Joseph P. | 1 |
Unlu, Fatih | 1 |
Publication Type
Numerical/Quantitative Data | 2 |
Reports - Research | 2 |
Journal Articles | 1 |
Education Level
Grade 10 | 1 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Porter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Robinson-Cimpian, Joseph P. – MDRC, 2014
A valuable extension of the single-rating regression discontinuity design (RDD) is a multiple-rating RDD (MRRDD). To date, four main methods have been used to estimate average treatment effects at the multiple treatment frontiers of an MRRDD: the "surface" method, the "frontier" method, the "binding-score" method, and…
Descriptors: Regression (Statistics), Research Design, Quasiexperimental Design, Research Methodology
Bai, Haiyan – Journal of Experimental Education, 2013
Propensity score estimation plays a fundamental role in propensity score matching for reducing group selection bias in observational data. To increase the accuracy of propensity score estimation, the author developed a bootstrap propensity score. The commonly used propensity score matching methods: nearest neighbor matching, caliper matching, and…
Descriptors: Statistical Inference, Sampling, Probability, Computation