1. Am I correct in thinking that the difference between multiple regression and multiple linear regression is fundamentally about the level of data of the DV? So that:

a. multiple linear regression would be used with 1

*dichotomous*DV and multiple continuous/dichotomous IV's, and

b. multiple regression would be used with 1

*continuous*DV and multiple continuous/dichotomous IV's

2. Can multiple regression be used when there is more than 1 DV? (I'm thinking not!) If not, is there another technique that is more appropriate, or is it more a case of running a number of individual regressions (i.e. testing the DV's individually).

I hope to avoid SEM techniques as I think they may be rather too sophisticated for my level of statistical knowledge!

Thank you so much for any help, I really am very glad to have stumbled upon this forum!!