I am conducting a data analysis intersectionaly of gender, religion, ethnicity/race, immigration status/nativity, and sexual identity, that best predict discrimination and depression.
I truly appreciate you taking the time to address my question.
I visited both websites but had no clue what to do next.
This is my own data and I need a good data analysis method. I used MANOVA, Canonical analysis, Regression analysis, Logistic analysis but has shown anything.
I am aiming at interactive intersectionality analysis, not additive.
I thought maybe I should a different method that specifically address intersectionality studies.
Referring to the variable you are expressing, I think, the younger qualitative approach answers your question. Selection of variables that tend to nominal and ordinal limit the method of analysis that is quantitative. So, I suggest you build a qualitative approach with various methods so that it can arrive at a valid conclusion. The triangulation process is important if you agree to use a qualitative approach, which is also followed by qualitative analysis. While I research directly I think you can make conclusions while ebrdasarkan data collected. Thus facilitating the tone in the study. Thankyou
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