This guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias) and discussing specific quantitative methods and tools to help quantitative analyses address equity. It provides specific considerations and strategies throughout all stages of the quantitative research and analysis process, including: planning and designing quantitative analysis with an equity focus, identifying and comparing subgroups, assessing and addressing data quality and small sample sizes, and modeling subgroup and distributional differences in regression equations.
Publication DateJan 11, 2023
TopicsEvaluation Methods | Program Evaluation | Evaluation Policy | Health Equity | Equity
PopulationsRacial & Ethnic Groups | High-Need, High-Cost Populations | Underserved Populations