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Seeds do not reproduce my results...

Hello dear JASP team!

I've been experimenting with setting seeds for Bayesian analyses. I've set my seed in one data file, and then created another JASP file with the very same data. I re-ran the analyses with the very same seed and got different results - some of my Bayes factors have changed by as much as six! Is this something to worry about?

Kind regards,

Anna

Comments

  • This is strange -- I'll make some enquiries

    E.J.

  • Hi Anna,

    thank you very much for contacting us. Could you please describe what specific analysis lead to different results after re-running it with a specified seed?

    Cheers,

    Frantisek

  • Hi Frantisek!

    These were repeated-measures analyses of covariance. Essentially, I had one JASP file full of analyses and I was struggling to wrap my head around what would be the best analytical approach to choose. Eventually, I settled and wanted to have one neat and tidy file, but keep the untidy file. So I opened the very same data set in JASP in a fresh file, entered the analyses with the same seed and voilà, different results...

    Cheers,

    Anna

  • Hi Anna,

    thanks for the quick response. I tried to reproduce your finding using our test datasets but I did not manage to do so. Could I ask you to save the .JASP file from the analyses as well as a screenshot that marks the results that changed, so I can re-run it on my computer? It would greatly help me in solving this issue.

    You can send me the files and screenshot at f.bartos96@gmail.com. I won't share the .JASP file or the screenshot with anyone else.

    Cheers,

    Frantisek

  • Hi Frantisek,

    I'm sorry, I just saw this. I will email you over the course of the next few days.


    Best,

    Anna

  • Hi Anna,

    no problem, looking forward to your email.

    Cheers,

    Frantisek

  • edited April 8

    Hi, I just saw this, I'm playing with the Bayesian regression as well as was wondering whether this has been solved?

    Thanks

  • Hi Agata,

    Unfortunatelly, I did not receive the email at end and we did not manage to reproduce it internally. If you happen to achive the same problem, let us know please!

    Best,

    Frantisek

  • Hi again, I haven't actually been able to reproduce the error, but I do remember encountering this and I wonder if this can be the question of workflow? Because when I run a regression and then set seed, it doesn't change, so the initial random BF doesn't change. On the other hand, when I set seed before adding predictors, shouldn't it give me a different, non-random result?

  • Hi Agata,

    what you describe should not be the case. Especially in Bayesian Linear Regression where the BF are obtained by quadrature and are not dependent on the seed (the seeds matters for the posterior distribution and interval estimates when the MCMC method is selected). I also tried what you described with Bayesian ANOVAs where the BF computation is dependent on seed. Before setting a seed, I get a BF corresponding to a random seed, after changing the seedm the model is automatically recomputed and produces the same BF even if the analysis is refreshed. This is also the case if you set seed before adding predictors into the model - which gives the same result as if I added the predictors before setting the seed. Or did you had a different combination in mind that I did not check?

    Cheers,

    Frantisek

  • I see, I just wanted to make sure, this is good to know. I think that dispels my doubts, thanks!

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