Dear AsdaPriced (not your real name, is it?),
I'll first make some guesses about your data: the first and second categories are two variables in your data, holding values 1 through n with value labels like "NGO", "IT company" ... The value labels are identical for both variables. If the first category has value 3 (self employed) then the second category may hold a different value or be empty. Values (1, 2) on category 1 and 2 has the same meaning as values (2, 1). The first and second categories are equally important.
If those guesses are correct, then you can merge the first and second categories into one variable
. That's basically what's explained here http://www.spss-tutorials.com/combining ... s-in-spss/
However, you should first
take into accound that (1, 2) and (2, 1) should result in the same value. You can do so by creating two new variables, the first holding the lowest value of the categories and the second holding the other value or system missing if absent. Use APPLY DICTIONARY for transferring value labels from one variable to the other.
Let me know whether the guesses are correct and if all this makes any sense to you.
Ruben Geert van den Berg