Not sure if this is the right sub for this, so let me know if I should crosspost elsewhere.
I'm working on an analysis where I'm looking at a binary variable and comparing it to multiple ordinal/continuous variables. I used a series of ANOVAs using the proc glm command. In the output for each comparison, I have 3 results tables: Type I SS. Type III SS, and Least Squares Means. The first two tables give me the degrees of freedom, Type X SS, mean square, f value, and p value. The Least Squares Means table just has the lsmean and p value.
I'm trying to figure out which of these I want to use to report my results (or a combination?). I figured out the difference between the Type I SS and Type III SS and I'm pretty confident I want to use the Type III because I have a couple variables I'm trying to control for. What I'm not sure is if I want to use the Type III SS table or the Least Squares Means table, or both? I'm having trouble figuring out exactly what Least Squares Means is and why that table gives me so much less data. Any help would be appreciated.
