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Teen Pregnancy Prevention Evaluation Technical Assistance: A Case Study.
Jean Knab1,2, Russell Cole2,3
1Princeton University, NJ, USA.
Evaluation Review
|November 30, 2020
Summary
Funders must address evaluation limitations like sample size and counterfactuals before awarding grants. Technical assistance cannot easily fix these issues, impacting study power and results.
Area of Science:
- Public Health
- Program Evaluation
- Social Science Research
Background:
- The Teen Pregnancy Prevention (TPP) Program funded 65 grantees across two cohorts.
- Grantees were mandated to conduct rigorous evaluations adhering to specific benchmarks.
- Mathematica provided large-scale evaluation technical assistance (ETA) to these grantees.
Purpose of the Study:
- To document Mathematica's experience delivering evaluation technical assistance for the TPP Program.
- To provide an overview of the TPP grant program, its evaluation requirements, and the ETA provided.
- To identify successes, challenges, and lessons learned from the large-scale ETA effort.
Main Methods:
- Case study methodology.
- Analysis of Mathematica's experience providing evaluation technical assistance.
- Review of TPP program structure, evaluation mandates, and grantee outcomes.
Main Results:
- Key lessons learned regarding pre-award considerations for evaluation design.
- Identification of two critical evaluation features (strong counterfactuals, adequate sample sizes) that are difficult to modify via ETA.
- Observation that focusing on rare or unobservable outcomes can limit impact detection.
Conclusions:
- Funders must prioritize robust evaluation designs, including strong counterfactuals and sufficient sample sizes, during the award selection process.
- ETA is less effective in correcting fundamental design flaws present before grant implementation.
- Additional evidence-building activities, such as federally led evaluations and meta-analyses, can supplement grantee findings and address limitations.
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