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) | 3 |
Descriptor
Program Effectiveness | 3 |
Randomized Controlled Trials | 3 |
Computation | 2 |
Correlation | 1 |
Family Violence | 1 |
Intervention | 1 |
Outcome Measures | 1 |
Outcomes of Treatment | 1 |
Participation | 1 |
Placement | 1 |
Program Evaluation | 1 |
More ▼ |
Source
American Journal of Evaluation | 3 |
Author
Bloom, Howard S. | 1 |
Epstein, Deborah | 1 |
Feller, Avi | 1 |
Goodman, Lisa A. | 1 |
Grindal, Todd | 1 |
Miratrix, Luke | 1 |
Page, Lindsay C. | 1 |
Raudenbush, Stephen W. | 1 |
Somers, Marie-Andree | 1 |
Sullivan, Cris M. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Goodman, Lisa A.; Epstein, Deborah; Sullivan, Cris M. – American Journal of Evaluation, 2018
Programs for domestic violence (DV) victims and their families have grown exponentially over the last four decades. The evidence demonstrating the extent of their effectiveness, however, often has been criticized as stemming from studies lacking scientific rigor. A core reason for this critique is the widespread belief that credible evidence can…
Descriptors: Randomized Controlled Trials, Program Evaluation, Program Effectiveness, Family Violence
Raudenbush, Stephen W.; Bloom, Howard S. – American Journal of Evaluation, 2015
The present article provides a synthesis of the conceptual and statistical issues involved in using multisite randomized trials to learn about and from a distribution of heterogeneous program impacts across individuals and/or program sites. Learning "about" such a distribution involves estimating its mean value, detecting and quantifying…
Descriptors: Program Effectiveness, Randomized Controlled Trials, Statistical Distributions, Computation
Page, Lindsay C.; Feller, Avi; Grindal, Todd; Miratrix, Luke; Somers, Marie-Andree – American Journal of Evaluation, 2015
Increasingly, researchers are interested in questions regarding treatment-effect variation across partially or fully latent subgroups defined not by pretreatment characteristics but by postrandomization actions. One promising approach to address such questions is principal stratification. Under this framework, a researcher defines endogenous…
Descriptors: Statistical Analysis, Program Effectiveness, Randomized Controlled Trials, Social Science Research