Hi,
We have 8 experimental conditions, and participants are randomly assigned to each condition. This does seem to work, but while we do want it to be random, we also want fairly equal numbers in each condition for analysis, and right now it seems a little off. Is there a way to randomize but in equal amounts to each condition? The code we're using is below:
UPfp trial - UP, famous person
<expt 1>
/ blocks = [*blocks*]
/ groups = (1 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete = 1]
</expt>
PUfp trial - PU, famous person
<expt 2>
/ blocks = [*blocks*]
/ groups = (2 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete =1]
</expt>
UPobj trial - UP, object
<expt 3>
/ blocks = [*blocks*]
/ groups = (3 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete =1]
</expt>
PUobj trial - PU, object
<expt 4>
/ blocks = [*blocks*]
/ groups = (4 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete =1]
</expt>
UPfp trial - UP, famous person
<expt 5>
/ blocks = [*blocks*]
/ groups = (5 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete = 1]
</expt>
PUfp trial - PU, famous person
<expt 6>
/ blocks = [*blocks*]
/ groups = (6 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete = 1]
</expt>
UPobj trial - UP, object
<expt 7>
/ blocks = [*blocks*]
/ groups = (7 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete = 1]
</expt>
PUobj trial - PU, object
<expt 8>
/ blocks = [*blocks*]
/ groups = (8 of 8)
/ postinstructions = (end)
/ quit = [values.quit ==1]
/ onexptbegin = [
values.pre = list.baseline_primes.nextindex;
values.post = list.baseline_primes.nextindex; ]
/ onexptend = [values.complete = 1]
</expt>
This is the frequency analysis for each experimental condition:
2 and 6 being low and 4 being high really offsets the amount in the obj vs. fp condition.