Resource Library

This brief article makes the case for collection of a Middle East and North Africa (MENA) category, and outlines collection methods or strategies.

Using data from 375 Arab and MENA people, the paper outlines a new MENA ethnic identity scale.

This post details the results of the 2020 Census and it’s collection of detailed MENA data, disaggregated from the white racial box. Until the new OMB racial and ethnic directives are implemented, this is the largest data set on how ethnic directives are implemented, this is the largest data set on how MENA community MENA community identifies.

This report provides a clear and concise overview of missing data issues and their impact on equity measures. It outlines a framework for addressing these issues and ensuring fair and accurate data analysis.

This blog post explains the concept of missing data and how it can lead to biased results, particularly when analyzing issues of equity. It uses clear language and real-world examples to make the topic accessible to a broader audience.

Survey was developed to understand the health care needs and utilization of military veterans.

This report examines the prevalence of selected medical conditions, use of healthcare both inside and outside of the healthcare system of the Department of Veterans Affairs (VA), and experience with VA and non-VA healthcare providers among Veterans in the U.S. civilian non-institutionalized population.

Since 2015, the AAMC has produced an annual series of Community Engagement Toolkits in collaboration with our members and their communities. These toolkits provide unvarnished community perspectives on crucial issues and views about how members can be better partners. 

HHS examined current Federal data collection standards, adequacy of prior testing, and quality of the data produced in prior surveys, consulted with statistical agencies and programs, reviewed Office of Management and Budget (OMB) data collection standards and the Institute of Medicine (IOM) Report Race, Ethnicity, and Language Data Collection: Standardization for Health Care Quality Improvement and built on its members' experience with collecting and analyzing demographic data.

The purpose of this guide is to provide in-depth information to facilitate implementation of the Race, Ethnicity, Language, and Disability (REALD) demographic data collection standards. This guide also includes information to support analysis and reporting of REALD data.