Hayes (2013) is talking about using the same sample at each bootstrap analysis by setting the random number seed to the same value for each run. In this way, you can have the same confidence intervals.
A sample command is
process vars=y1 iv1 iv2 iv3 med1/y=y1/x=iv1/m=med1/boot=10000/model=4
/seed=5235.
I could not run the analysis by fixing the sample. I would be happy if you could help me.
Best
Pınar
Hi,
as far as I know, there is no way to set the random seed through the graphical user interface (GUI), the only way at the moment is to run PROCESS using syntax. The sample syntax line you posted could be outdated: since PROCESS version 3 "vars=" is no longer used. The following syntax works fine:
PROCESS y=DEP /x=INDEP /m=MED /boot=5000 /model=4 /seed=5235.
Remember that you have to run the PROCESS syntax file (process.sps) first (or simply run a PROCESS analysis through the GUI right before using syntax), otherwise you won't be able to call it from syntax.
Good luck with your project.
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