Hello
I have written a program in Stata to create several datasets containing
simulated item response values, which are based on randomly generated item
response theory parameters. I am finding that the randomly generated
parameters for each dataset are following a predictable pattern (one set of
parameter values for odd-numbered datasets; another set of values for
even-numbered datasets). I have been using the set seed command to try to
avoid this repetitive pattern, for example:
local sd = `j' * int(uniform() * 1000)
set seed `sd'
...
local b = invnormal(uniform())
Where `j' is a forvalues counter variable. Is there a better way to do this?
Thanks
Barth
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