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) | 1 |
Descriptor
| Simulation | 2 |
| Accuracy | 1 |
| Causal Models | 1 |
| College Admission | 1 |
| Community Colleges | 1 |
| Computation | 1 |
| Educational Demand | 1 |
| Educational Development | 1 |
| Educational Supply | 1 |
| Enrollment | 1 |
| Enrollment Influences | 1 |
| More ▼ | |
Source
| MDRC | 1 |
Author
| Bloom, Howard S. | 1 |
| McIntyre, Chuck | 1 |
| Porter, Kristin E. | 1 |
| Reardon, Sean F. | 1 |
| Robinson-Cimpian, Joseph P. | 1 |
| Unlu, Fatih | 1 |
Publication Type
| Numerical/Quantitative Data | 2 |
| Guides - Non-Classroom | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textPorter, 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
McIntyre, Chuck – 1999
Enrollment simulation and planning (ESP) is centered on the use of statistical models to describe how and why college enrollments fluctuate. College planners may use this approach with confidence to simulate any number of plausible future scenarios. Planners can then set a variety of possible college actions against these scenarios, and examine…
Descriptors: College Admission, Community Colleges, Educational Demand, Educational Development
