Analysis Considerations for Race, Ethnicity, and Gender Variables

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Resource type(s): Support of Research
Keyword: race
ethnicity
gender
inclusion
research
analysis
data capture
Rights: Attribution-ShareAlike 3.0 United States
Creator: Ciolino, Jody Dyan
Kershaw, Kiarri N.
Contributor: Northwestern Universitys Department of Preventive Medicines Working Group on Response to Structural Racism
Carnethon, Mercedes R
Granata IV, Frank Anthony
Gray, Elizabeth
Huffman, Mark D
Jones, Molly
Rodriguez, Monica
Neubauer, Leah C
Scholtens, Denise M
Abstract: The Department of Preventive Medicines (DPM) Working Group on Response to Structural Racism in Research, in collaboration with several members of the Division of Biostatistics, developed these considerations for best practices when summarizing and analyzing relevant demographic variables in Human Subjects Research. These considerations serve as guidelines and recommendations. They are not binding in any way. We recognize research studies each have unique needs, and there is no single set of best practices that would apply to all studies.
Related URL: https://doi.org/10.18131/g3-j4wr-gf57
Publisher: DigitalHub. Galter Health Sciences Library & Learning Center
Date Created: 2022-01-21
Language: English
Subject: MESH: Ethnic and Racial Minorities
Data Analysis
Gender Identity
Data Collection
DOI: 10.18131/g3-5sa2-wb83