Originally Posted by

**PeterFlom**
Ordinal logistic regression differs from Spearman rank correlation in that regression explicitly defines one variable as dependent (or outcome) and one as independent (or predictor). This seems to be close to what you want.

Ordinal logistic regression also allows you to have more than two variables in the relationship. You don't explicitly say that you want to do this, but it seems likely that you do.

However, if you have added together three Likert scales to form variables, then you have already assumed that the Likert scales are interval level - you can't add ordinal variables. This sort of thing is done all the time. But, once you add 3 five point Likert scales, you get a scale that goes from 3 to 15 and you might be able to use OLS regression (that is, "regular" regression). Technically, that requires that the dependent variable be continuous, but this is also violated all the time. Many variables are not measured on a continuous scale (one could argue that NO variables are), it's just a question of how many levels you need.