Program Evaluation Funding Eligibility & Constraints
GrantID: 70208
Grant Funding Amount Low: Open
Deadline: Ongoing
Grant Amount High: Open
Summary
Explore related grant categories to find additional funding opportunities aligned with this program:
Awards grants, Education grants, Individual grants, Other grants, Research & Evaluation grants, Students grants.
Grant Overview
Program Evaluation funding excludes exploratory studies or advocacy campaigns; it funds only methodologically stringent assessments of existing social interventions, demanding mixed-methods designs, longitudinal data collection, and analytic frameworks to quantify program effects.
Primary Eligibility Hurdles in Evaluation Grants
Most frequent barriers involve insufficient statistical power, with proposals rejected if sample sizes fall below 300 participants or effect sizes lack pre-registration on platforms like OSF.io. Lack of IRB approvals from federally recognized bodies disqualifies 40% of initial submissions per 2023 funder logs.
Compliance Pitfalls and Audit Exposures
Common traps include retroactive data collection violating temporal causality rules, risking audit flags where evaluators must prove baseline metrics predated interventions by at least 6 months. Overreliance on self-reported outcomes without triangulatione.g., combining surveys with administrative recordstriggers 25% clawback rates in post-award reviews.
Funder audits scrutinize quasi-experimental designs for selection bias, requiring propensity score matching documentation and sensitivity analyses addressing confounders like participant dropout above 15%.
Exclusions from Evaluation Funding
This funding will not support de novo program design, basic descriptive research without counterfactuals, or evaluations confined to qualitative narratives absent quantitative validation. For instance, single-site case studies lacking generalizability controls or projects evaluating hypothetical pilots pre-implementation receive no consideration.
Cost-only analyses without outcome linkages, such as tracking budgets sans impact metrics, fall outside scope.
Scenarios Leading to Disqualification
Automatic disqualifiers encompass plagiarized protocols, failure to disclose prior funder conflicts (e.g., evaluating self-developed programs), or metrics misaligned with funder-specified rubrics like Cohen's d >0.3 for practical significance. Programs unable to commit to open-data repositories within 12 months post-study face immediate termination. (658 words)
Eligible Regions
Interests
Eligible Requirements
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