I am going research looking at several different variables:

Dependent variable is binomial (test was ordered or not)

Independent variables are also binomial, and there are many (i.e. adult/child, gender)

Subgroups: location a, location b, and WITHIN location b, there are two potential groups of people that may have ordered the test

My goal is to determine:

1) Factors that may influence an individual's decision to order a test (like age or gender).

2) I also want to know if any of these factors influence each other (i.e. females are more likely to get the test if they're adults).

3) I also want to know if the influential factors are different between different locations

4) In location b, I want to know if the influential factors are different between different professions 

It looks like logistic regression plus interactions is likely my best bet for my objectives 1 and 2 (will have one dependent variable with outcome 0 or 1, and will have 7 independent variables, each with outcome 0 or 1). I am thinking that the only way to look at my objectives 3 and 4 is by running multiple logistic regressions. Is this the best way to perform these stats?

Thanks for any help!