Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Data Analysis | 2 |
| Data Collection | 2 |
| Program Evaluation | 2 |
| Randomized Controlled Trials | 2 |
| Simulation | 2 |
| Bayesian Statistics | 1 |
| Bias | 1 |
| Computation | 1 |
| Evaluation Research | 1 |
| Heterogeneous Grouping | 1 |
| Intervention | 1 |
| More ▼ | |
Author
| Bloom, Howard S. | 1 |
| Cody, Scott | 1 |
| Finucane, Mariel McKenzie | 1 |
| Martinez, Ignacio | 1 |
| Porter, Kristin E. | 1 |
| Raudenbush, Stephen | 1 |
| Weiss, Michael J. | 1 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Finucane, Mariel McKenzie; Martinez, Ignacio; Cody, Scott – American Journal of Evaluation, 2018
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data…
Descriptors: Bayesian Statistics, Data Analysis, Program Evaluation, Randomized Controlled Trials
Bloom, Howard S.; Porter, Kristin E.; Weiss, Michael J.; Raudenbush, Stephen – Society for Research on Educational Effectiveness, 2013
To date, evaluation research and policy analysis have focused mainly on average program impacts and paid little systematic attention to their variation. Recently, the growing number of multi-site randomized trials that are being planned and conducted make it increasingly feasible to study "cross-site" variation in impacts. Important…
Descriptors: Research Methodology, Policy, Evaluation Research, Randomized Controlled Trials

Peer reviewed
Direct link
