I have two datasets and they both have the same set of independent variables:

* 9 of them are on scale from 0 till 100
* 3 of them are categorical(1 with two types categories, 1 with
three types of categories, 1 with six types of categories)

The meaning of the dependent variables are the same *but* their scales are different.

* How happy are you about your marriage? These scores are on a scale
from 0 till 5: Let's call this group A
* Are happy with your marriage? These scores are as yes or no: Let's
call this group B

I want to check whether Group B and Group A perceived the Happiness differently by checking whether the combination (with interaction and without) of our independent variables effected the happiness differently from each-other.

How can I test this?

Update:
Applying the assumption: a scale transformation: 1 till 3 = bad and 4 and 5 = good is possible for me.I want to merge the two groups together.