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) | 1 |
Descriptor
Author
| Bloom, Howard S. | 3 |
| Cimpian, Joseph R. | 1 |
| Porter, Kristin E. | 1 |
| Reardon, Sean F. | 1 |
| Unlu, Fatih | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkPorter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Cimpian, Joseph R. – Journal of Research on Educational Effectiveness, 2017
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), Intervention, Quasiexperimental Design, Simulation
Peer reviewedBloom, Howard S. – Evaluation Review, 2002
Introduces an new approach for measuring the impact of whole school reforms. The approach, based on "short" interrupted time-series analysis, is explained, its statistical procedures are outlined, and how it was used in the evaluation of a major whole-school reform, Accelerated Schools is described (H. Bloom and others, 2001). (SLD)
Descriptors: Educational Change, Elementary Education, Evaluation Methods, Research Design
Peer reviewedBloom, Howard S. – Evaluation Review, 1995
A simple way to assess the statistical power of experimental designs, based on the concept of a minimum detectable effect, is described. How to compute minimum detectable effects and how to apply the method of assessment of alternative experimental designs are illustrated. (SLD)
Descriptors: Estimation (Mathematics), Evaluation Methods, Experiments, Power (Statistics)
