I think that will surely help. But the best thing to do to have a better result is to plan the action first.What I usually do for things like this:
- save a separate spss file for every combination of your matchin variables (e.g., young males, young females, old males, old females)
- within each of these file use select cases -> random sample -> exactly ... of the first ... cases.
with odd numbers (e.g., 17 young males) I use random number generator to determine whether experimental or non-experimental condition gets one extra (e.g., i let it select a random number between 0 and 1, if >.5 it is experimental, otherwise non-experimental).
does this help?
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