I am doing my dissertation using a Bem Sex role inventory that classifies people into feminine, masculine, androgynous and undifferentiated based on the median split using both scales (feminine and masculine).
In my case if the person scores equal and above 103 on fem and below 90 on musc scale they're classified feminine.
if scoring below 103 and equal and above 90 then classified as masculine.
If scoring equal and above 103 and 90 and both scales considered androgynous.
If scoring below 103 and 90 considered classified.
Any idea how I can compute those variables in SPSS, please? I am completely lost.
Thank you.
Hello Mikaella,
So, at present you have two scores for each case: (a) fem; (b) masc. And you want to take these scores and generate a single classification variable that will have four possible categories, is that correct?
If so, try this spss syntax, which will create a new variable, class:
******
compute class = 0 .
if ((fem > 102) and (masc < 90)) class = 1 .
if ((fem > 102) and (masc > 89)) class = 2 .
if ((fem > 102) and (masc > 89)) class = 3 .
if ((fem < 103) and (masc < 90)) class = 4 .
execute .
value labels class 1 'Feminine' 2 'Masculine' 3 'Androgynous' 4 'Undifferentiated' .
missing values class (0) .
******
Good luck with your work.
Dr Morse is completely right about grouping. I must add that scoring is so that the concluding variable is ordinal.
What is better a colder weather or a warmer? A lighter man or a heavier?
Hello all,
Just to clarify (and, perhaps I should have included this in my first post, above), the resultant grouping variable ("class": 1 = feminine, 2 = masculine, 3 = androgynous, 4 = undifferentiated) will be a nominal variable.
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