CODEWITHSUNDEEP
spssrecode
Steve
Steve

Reputation: 2854

Recode Multiple Columns into Single Variable

I have six columns: age01 ... age06

They contain a 1 or 0 depending on whether a respondent fits into that age category.

The data is as follows: Age columns

The age categories are mutually exclusive, respondent cannot answer 1 to more than 1, and at least 1 must equal 1.

How can I recode this such that I get a variable with:

respondent age_category
1   age01
2   age01
3   age04
4   age05
5   age06

Once I get this, the next step is to swap out each one of these for a mean value. ie. Age0 -> 24.5. But I am able to do that from the format above.

Upvotes: 2

Views: 955

Answers (2)

lroha
lroha

Reputation: 34406

You can try:

string new_age_string (a10).
do repeat a = age01 to age06 / b = 24.5 34.5 44.5 54.5 64.5 74.5 / c = "age_01"  "age_02" "age_03" "age_04" "age_05" "age_06".
if a = 1 new_age = b.
if a = 1 new_age_string = c.
end repeat.
exe.

However, I don't see the wisdom in recoding to the middle value of your age groups - if your intention is to use age as an IV then you'd get the same result just recoding the variable as 1 to 6.

Upvotes: 2

Jignesh Sutar
Jignesh Sutar

Reputation: 2929

I suspect you want something like this (rather than coding AgeCat as string variables which your post may suggest):

compute AgeCat= sum(age01*1,age02*2,age03*3,age04*4,age05*5).
value labels AgeCat
  1 "Age Category 1"
  2 "Age Category 2"
  3 "Age Category 3"
  4 "Age Category 4".

On the off chance (more often than not quite a high chance), the age dichotomies are not mutually exclusive, I would add a few extra lines of code for safe measure, like this:

do if sum(age01 to age05)=1.
  compute AgeCat= sum(age01*1,age02*2,age03*3,age04*4,age05*5).
else if sum(age01 to age05)=0.
  compute AgeCat= -98.
else if sum(age01 to age05)>1.
  compute AgeCat= -99.
end if.
value labels AgeCat
  1 "Age Category 1"
  2 "Age Category 2"
  3 "Age Category 3"
  4 "Age Category 4"
  -98 "No data"
  -99 "Multiple entries".

Upvotes: 2

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