I run an HB analysis giving me the individual-level utilities. To account for possible differences between males (n=182) and females (n=89), I've calculated the mean part-worth utilities and standard deviations of each of the groups (m/f).
I want to ask you whether it is the correct way to "simply" do a t-test by averaging the values for each attribute level (averaging mean part-worths males and females and standard deviation), calculating the other important values (i.e. standard error) and checking whether the final results are +/- 1.96 on the 95% confidence interval.
I would be great to hear from you soon :-)