Basically, I have a Logistic regression model were I have categories. For example I have to compare trust in the government (trust or distrust) between educational level. My reference group is none education and I have to compare against, High school education, technical none university education and university education. What I wanted to know is how the program deals with the standard error of each comparison. For example, none education against high school, technical education against none education and none education against university education.  So there are multiple comparisons and I would like to know how the program deals with this stuff so it doesn't have a standard error over the roof. 

I checked in the manual and I couldn't find the explanation. Can somebody please help me with this? If he or she can also give me which author (or paper) to look I will be greatly thankful.

Regards.