Notes for Applicants on Power Analysis in Experimental and Non-Experimental Designs
Arnold Ventures provides detailed guidance and resources for researchers to conduct robust power analyses in experimental and non-experimental study designs for research proposals.
Funder: Arnold Ventures (https://www.arnoldventures.org)
Due Dates (Anticipated): April 2027
Funding Amounts: Varies by project; typical awards support full research proposals with robust study designs.
Summary: Guidance for applicants to Arnold Ventures on conducting and reporting power analyses for experimental and non-experimental research proposals.
Description
Arnold Ventures provides detailed guidance for researchers preparing proposals that require robust power analyses in both experimental (e.g., randomized controlled trials) and non-experimental (e.g., quasi-experimental) study designs. The guidance covers essential elements such as target sample size, minimal detectable effect size (MDE), anticipated effect sizes, and the underlying assumptions used in power calculations. It includes formulas for standard experimental designs, simulation-based approaches for non-experimental designs, and addresses specific analytical considerations for regression discontinuity and difference-in-differences methodologies. Comprehensive resources and example R code are provided to support applicants in conducting transparent and rigorous power analyses, ensuring that funded projects are capable of providing valid and meaningful results.
