rohanp16
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Fair enough Johnny, thanks for the prompt response, appreciate it.
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Just following up on this and wondering when/if there were any updates/timelines? Thank you for all the work you do! :)
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Perfect, thanks E.J.
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Thanks for the prompt response E.J. I see... so with the uniform prior, the posterior distribution of the mean is dominated by the likelihood (data), correct? Thus, the interpretation of the 95% CI is "given the data, the mean has a 95% probabi…
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Seconded regarding a power analysis function for Bayesian mixed ANOVAs :)
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For 4 levels of a factor, a post hoc test will yield m(m-1)*0.5 = 6 comparisons, which according to Jeffreys ought to be corrected by 0.1225, so there is quite a large discrepancy between both approaches (one being too conservative, one being too ge…
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Thanks for pointing me in the right direction Johnny. For anyone else reading this and interested to know, The formula is (1-0.5^(2/m))/0.5^(2/m), where m is the number of levels of a factor. With 4 levels of a factor, it is (1-0.5^(2/4))/0.5^(2/4) …
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Thanks for that prompt response Johnny, much appreciated! I now have more clarity on how to proceed and will proceed with 2). My only question is, how did you end up with 0.4142 as the correction factor for the BF_U with 4 comparisons? Indeed, your …
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I have a similar, but slightly more complicated, question @JohnnyB and would appreciate your insights. I am running a 3 way Bayesian ANOVA with 2 within-subject factors (say, A and B) and 1 between-subject factor (say, C). The analysis of effects in…
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Thanks for that EJ, will give them a read. Cheers
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+1
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Thanks Don, appreciate it :)
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Cheers EJ, appreciate it. I have been in touch with Don outside of the forum and should have posted the result of the communication for completion sake. He suggested to open a GitHub feature request, which I have below, https://github.com/jasp-stats…
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Hi ElizaSells, I'll answer your first question regarding parameter estimates but can't answer your question regarding ROPE. Regarding parameter estimates, there is a great tutorial paper on Bayesian ANOVA that has a section titled 'Parameter estimat…
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Thanks for the clarification Johnny, it all makes sense. I'm glad you agree that the method suggested is a crude method and while not overly cumbersome for a 2 x 2 ANOVA, it would start to get complex as the number of factors and levels in an ANOVA …
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Pleasure! Thank you for looking into it and fixing it :)