EJ
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- EJ
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Comments
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Right now this is not possible. Of course the graph allows the user to try out some values near the threshold, but it is not autimatized. This would be a good feature request for our GitHub page. E.J.
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This should be easy to figure out with generated data (for instance using the Distribution module). But perhaps we should clarify this. I'll ask the team.
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Hi Daniela, I'm forwarding your email, but the person in charge of this analysis has just gone on vacation so responding might be a little more slow. E.J.
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Dear Laura, I am referring to resampling itself. I do realize the resampling is handy in the present context, because otherwise you need some sort of complicated time series model (which will almost certainly be misspecified). This is definitely int…
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Dear AstralWolf, This is because the ANOVA scenario is more complex. But maybe something is possible here. A good feature question for our GitHub page! Cheers, E.J.
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Hi Laura The jackknife is a resampling technique, right? When you're doing a Bayesian analysis that is not needed. But I guess I should look up the Kiesel paper... Cheers, E.J.
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That would be very welcome -- I'll check E.J.
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I'll ask the team
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Hello buzziol, We're working hard to make it easier to obtain the R code underlying the computations. This is work in progress, but it is our main goal for the near future. Cheers, E.J.
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Hi Joshua, From your description it seems you want to conduct a *paired* samples t-test (each species is tallied in two areas, and I suppose you want to test whether the one area has more bees than another area?). So then you simply select the paire…
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You can check out the release notes or the associated blog posts: https://jasp-stats.org/2022/04/19/introducing-jasp-0-16-2-performance-improvements-apple-silicon-and-bug-fixes/ and https://jasp-stats.org/2022/06/16/introducing-jasp-0-16-3-quality-c…
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Dear Vasileia, The ANOVA is usually robust to violations of normality. Specifically, this paper (https://link.springer.com/article/10.3758/s13428-017-0918-2) suggests that when the min vs max variance ratio < 1.5, the results should be robust. Of…
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Hi bdgp9636, With "proper" do you mean "robust"? And did you have a specific procedure in mind? Are you doing the classical meta-analysis or the Bayesian meta-analysis? Cheers, E.J.
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I think this would be a good feature request! Cheers, E.J.
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Hi Stanislaw, I'll ask around. If it crashes R, it will crash JASP. But I am not sure whether it will work in R but not in JASP... Cheers, E.J.
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Hi Michael, Thanks for this interesting question. My two cents: Yes your summary is adequate. Note that the problems originate because the models are misspecified. In general, when the models are badly misspecified, all sorts of statistical havoc ma…
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Yes, but Koen, isn't it worrying that the results would differ a lot depending on the seed?
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How different are the results? Most of ML is based on resampling algorithms so results are expected to differ -- but if they differ by a lot than this would be surprising to me. E.J.
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So you want to divide by N instead of N-1, is that what you mean? If I'm not mistaken you can take the SD from JASP, multiply by [sqrt(1/N) / sqrt(1/(N-1))] and you should get the result you want. I did this very quickly though, so best to check! A…
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The method for correction can be the same as that applied for post-hoc tests in ANOVA. See the thesis by Tim de Jong for details: https://psyarxiv.com/s56mk Cheers, E.J.
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Hi Ana, I'm sure you can put everything in a single model, but I'd keep things simple and conduct two separate analyses. Cheers, E.J.
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We'll soon (this week, hopefully) preprint a paper in which we outline a problem with the currently standard way of specifying RM models in BayesFactor.
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Hi Marthapapa, I'm afraid that I have never used circular statistics myself. I think I can only advise you to talk with an expert for this particular analysis (it was a contributed module, so the other JASP team members are not experts either I thin…
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Hi Marijn, This is not yet possible. Well, I guess with some categorical variables it would be an ANCOVA... Cheers, E.J.
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Yes, so Richard confirms that it would just be an unbalanced design in that case, which the Bayesian model handles.
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The BayesFactor models are in fact linear mixed models. Let me get confirmation from Richard, also on the missing data aspect.