Resource Policy

Guide on Advancing Equity through Quantitative Analysis

Initially created to inform federal staff at the U.S. Department of Health and Human Services, this guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias).

The document outlines key steps for incorporating an equity lens into quantitative research, such as designing studies that recognize bias, engaging people with lived experience, and carefully selecting subgroups for analysis.

It also discusses methods for addressing data quality and small sample sizes, and provides advanced statistical tools like Bayesian modeling and quantile regression to improve precision and ensure that disparities are accurately captured in research outcomes. The guide emphasizes the importance of considering the historical, social, and political context of research to identify and mitigate inequities.