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Talking about demographic disparities in data analysis and reporting.

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Systems Centered Language

  1. 1. Know the context: Understand the community, culture, and people the data represent, and the systems in which they reside and interact. Clarify the concern: The concern is disparities in outcomes, not inherent individual flaws or deficits (e.g., racial identity is not a risk factor, but discrimination and oppression on the basis of race is). Identify root causes: Identify the conditions (e.g., social, structural, environmental, economic, political, etc.) that allow disparities to occur and persist. Properly contextualizing disparities helps to challenge harmful narratives.2 Three things to think about when examining and discussing data disparities: ROOT CAUSES Certain terminology can result in perpetuating victimization. This puts the onus for change in the wrong direction.3 Coined by Dr. Meag-gan O'Reilly, systems centered language helps place accountability on the systems and structures that perpetuate inequity rather than on the individuals and communities that are impacted. LANGUAGE MATTERS The language and labels we use can intentionally or unintentionally convey that one group is inferior, or attribute blame to one's identity rather than to systems of inequity.1 This is particularly important when discussing how disparities in outcomes are represented in data. How we talk about disparities impacts how we act on the data. OVERVIEW Buchanan, N. T., Perez, M., Prinstein, M. J., & Thurston, I. B. (2020). Upending racism in psychological science: Strategies to change how our science is conducted, reported, reviewed & disseminated. doi: https://doi.org/10.31234/osf.io/6nk4x Spievack, N. & Okeke, C. (2020). How we should talk about racial disparities. [Blog post]. Elevate the Debate. Washington, D.C.: Urban Institute. Retrieved from https://www.urban.org/urban-wire/how-we-should-talk-about-racial-disparities O’Reilly, M. (2020). Systems centered language. [Blog post]. Medium. Retrieved from https://medium.com/@meagoreillyphd/systems-centered-language-a3dc7951570e 1. 2. 3. Talking about demographic disparities in data analysis and reporting. Systems Centered Language African Americans are an at-risk community. The pandemic will hit our most vulnerable populations the hardest. There are disproportionately higher rates of suicide among African American youth. Communities that have faced historic discrimination may exhibit worse academic outcomes. Rather than , African American communities are exposed to additional harms. The pandemic will hit our most prohibited populations the hardest. There are systematically higher rates of suicide among African American youth. Communities that face continued discrimination may exhibit worse academic outcomes. Say instead. www.CorbinJStandley.com

Talking about demographic disparities in data analysis and reporting.

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