The purpose is to measure the effect of a single variable, so you make sure to correct for all other variables. For example, to measure the effect of height you might compare white men only against white men, black women only against black women, etc.
In a study measuring the gender pay gap, they would be correcting for variables other than gender.
Yes, that's what it means - if all other factors they list are equal, meaning if the only difference is height.