Hello everybody
I have a logistic regression:
and regression coefficients are being computed for the three remaining categories (B, C, D).
However, in my case there is no reason to define a refence-category as all countries are equally important. I am not
interested in whether there is for example a difference between country "B" compared to country "A", but in whether there is a
difference between A (or B, C, D) compared to the other three.
Are there any reasons against using four dichotomous variables (A: yes/no; B: yes/no; C: yes/no; D: yes/no) instead?
Thanks for your advice!
I have a logistic regression:
- The dependent variable is dichotomous and was measured in four different countries (A, B, C, D)
- There are several explanatory variables. One of them is the country where the dependent variable was measured.
and regression coefficients are being computed for the three remaining categories (B, C, D).
However, in my case there is no reason to define a refence-category as all countries are equally important. I am not
interested in whether there is for example a difference between country "B" compared to country "A", but in whether there is a
difference between A (or B, C, D) compared to the other three.
Are there any reasons against using four dichotomous variables (A: yes/no; B: yes/no; C: yes/no; D: yes/no) instead?
Thanks for your advice!