Rec 5b: Avoid analyzing or reporting “multi-racial” as racial/ethnic category.
It is so vague it is meaningless.
One option is to create categories for combos of racial and ethnic groups which exhibit distinct health patterns.
Another option is categories that are not mutually exclusive.
It is so vague it is meaningless.
One option is to create categories for combos of racial and ethnic groups which exhibit distinct health patterns.
Another option is categories that are not mutually exclusive.
Comments
Structural racism researchers encounter structural racism in their efforts to obtain data.
Data owners should allow researchers to make a case for analyzing smaller samples than are customary to with their dataset.
Some marginalized groups simply do not exist in numbers large enough to satisfy sample size req's.
In these cases, are we willing to exclude entire communities from the scope of statistics?
Mainstream frameworks for data ownership and ethics emphasize concerns about privacy and statistical rigor (aka prioritize sample size), while complementary frameworks emphasize other value systems.
If our standard practices systematically disadvantage minoritized groups, then we need to find ways to correct them.
Resist by continuing to move your work forward!