http://spssx-discussion.165.s1.nabble.com/Question-Regarding-Overlapping-Demographics-tp5740113p5740116.html
Thank-you very much! The population is all the community mental health consumers in the Detroit-Wayne County system. The sample is purposive cluster to assure geographic representativeness, which means including various racial/ethnic groups. The Other Race
group is comprised of those subjects who answered "Other Race" and the very small individual racial groups not Black or White. The latter groups were identified by race but none of the individual categories amounted to very many so they were included in the
Other Race group. Additionally, the categories themselves contain heterogeneous cultures. For example, the largest of them is Asian. This includes Japanese, Chinese, and Hmong - clearly very different cultures. So in keeping with the input, I'm keeping Ethnicity
and reducing Race to Black/White. Looking at differences between Black, White, and Other is rather meaningless since Other is both very small in comparison of N's, but also heterogeneous. So it becomes nothing but a placeholder, and a significant finding for
Other doesn't really tell me anything.
Who wants to know what, and why?
I think you will run into a lot of flak if you put Latinx out there as
a Race. The bulk of the sample is Black/white; the sample size is
large, considering the hypotheses. That is, if the only "effects" are
small ones, you would not have much to point to, and you would
want to control for other variables that would account for small effects --
age, income, computer-access, family role, family size, and so on.
I think I would start by focusing on the Black/white, and look at all
those side issues to see how much they matter. That would instruct
me on how to further incorporate Latinx or Other race. Just displaying
certain sets of means might be enough, beyond the initial tests based
on Black/white.
--
Rich Ulrich
Greetings, all. I'm running an ANOVA, analyzing changes in service delivery due to the implementation of telemental health. I have an overlap between Race and Ethnicity. Race is divided into
Black/African American, White, and Other Race. Ethnicity is Latinx/Non-Latinx. 78.7% of the Other Race is Latinx. 70% of Latinx is Other Race. So the majority of Latinx respondents used Other Race. If I eliminate Latinx subjects from Other Race, the result
is 298 subjects in the Other Race category compared to 4676 Black/African American and 4038 White. If I eliminate those 298 subjects from Other Race, then that effectively makes Hispanic as a racial category
with 1101 members. So I might use four racial categories and eliminate ethnicity altogether knowing that one of the racial categories was Hispanic. Any thoughts?
Thanks in advance. I suspect I'm not alone in this quandary with respondent confusion regarding ethnicity and race.
B
Brian G. Dates, M.A.
Consultant in Program Evaluation, Research, and Statistics
248-229-2865
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