The Intersectional Discrimination Index-Anticipated (InDI-A) is a 9-item measure that captures the degree to which one expects to experience discrimination in different settings and circumstances, such as in public, at work, when seeking healthcare, or in relationships.
Geographies Tested: Canada,United States of America
Populations Included: Female, Male, Transgender
Age Range: Adults
These questions are about experiences related to who you are. This includes both how you describe yourself and how others might describe you. For example, your skin color, ancestry, nationality, religion, gender, sexuality, age, weight, disability or mental health issue, and income.
1. Because of who I am, a doctor or nurse, or other health care provider might treat me poorly.
2. Because of who I am, I might have trouble finding or keeping a job.
3. Because of who I am, I might have trouble getting an apartment or house.
4. I worry about being treated unfairly by a teacher, supervisor, or employer.
5. I may be denied a bank account, loan, or mortgage because of who I am.
6. I worry about being harassed or stopped by police or security.
7. Because of who I am, people might try to attack me physically.
8. I expect to be pointed at, called names, or harassed when in public.
9. I fear that I will have a hard time finding friendship or romance because of who I am.
Response Options:
Strongly disagree – 0
Disagree – 1
Neither agree nor disagree – 2
Agree – 3
Strongly agree – 4
Items are averaged to create a scale. Higher scores indicate higher anticipated discrimination.
Scheim, A. I., & Bauer, G. R. (2019). The Intersectional Discrimination Index: Development and validation of measures of self-reported enacted and anticipated discrimination for intercategorical analysis. Social Science & Medicine, 226, 225-235. https://doi.org/10.1016/j.socscimed.2018.12.016
Psychometric Score
Ease of Use Score
Qualitative Research
Existing Literature/Theoretical Framework
Field Expert Input
Cognitive Interviews / Pilot Testing
Internal
Test-retest
Interrater
Content
Face
Criterion (gold-standard)
Construct
Readability
Scoring Clarity
Length
to get the latest updates on new measures and guidance for survey researchers