The Intersectional Discrimination Index: Development and validation of measures of self-reported enacted and anticipated discrimination for intercategorical analysis
Ayden I. Scheim; Greta R. Bauer · 2019 · Social Science & Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND AND OBJECTIVE: Although intersectional approaches have gained traction in population health research, quantitative discrimination and health studies have tended to focus on a single axis of discrimination (e.g., racism, homophobia). As few discrimination measures function across multiple social identities or positions, we developed the Intersectional Discrimination Index (InDI) for intercategorical intersectionality research, including measures of Anticipated (InDI-A), Day-to-Day (InDI-D), and Major (InDI-M) discrimination that do not require attribution to particular grounds. METHO
Abstract by Ayden I. Scheim; Greta R. Bauer, Social Science & Medicine (2019) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.socscimed.2018.12.016