EJ
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- EJ
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Comments
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Hi Peter Yes, they are the same, because for this more descriptive measure we assumed a uniform prior. And in this model, the results will then be identical. Cheers, E.J.
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Yes. So then you need a column that codes the condition (A, B, or C) so that you can do "split" by condition. The data file would look like this: part.nr. DV condition 1 350 A 1 450 B 1 …
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This is strange. I'll bring this to the attention of the team. BTW, for future bug reports, you are invited to post them on our GitHub page! (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). Cheers, E.J.
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And you want box plots for every repetition, right? So then you need a column that lists the that information. For instance: repetition RT 1 550 1 645 2 440 etc Then you do "…
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Let me check, but I think you only get them in a single plot if you have all values in a single column and then use the "split by" option (that points to another column that indicates the variables) E.J.
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Not yet, but Johnny is working on it We do have a Bayesian version of Kendall's tau in there (which I personally find more elegant than Spearman) E.J.
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I think this has been fixed for the upcoming new release. Let me check...
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Hi Mila, What I would do is first add your control variables to the null model, and then compare this null model to the model with the other variables added. This can be done in different ways (compare to the model with all variables of interest add…
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This suggests some actual statistical research; we'll look into it E.J.
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Hi Aaron, Sorry about the long delay. This is similar to the analysis for the "Bugs" data set, discussed for instance in the Part II paper here: https://link.springer.com/article/10.3758/s13423-017-1323-7 I cannot see a gif/YouTube video o…
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Dear Clement Sorry for the tardy reply. In general, you can obtain evidence for any two models using transitivity, the way you outlined. But there are two crucial steps, one that comes before and one that comes after: The step before: which models d…
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Since your code is based on the BayesFactor package, and Richard knows more about change scores than I do, I've forwarded your question to him (sorry for the tardy response, just had kid #2, makes it difficult to keep up) E.J.
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Dear Kimberly, Sorry for the tardy reply. Looking at the analysis of effects, the data *increase* the prior inclusion probability from 0.263 to 0.750, for an inclusion BF of 3.8; this is mild evidence in favor of Factor 2. So that's not exactly what…
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Dear Gabriel, Thanks for bringing this to our attention. We will look into it and keep you posted! Cheers, E.J.
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Easiest: "default prior used by the BayesFactor package (details, ref), as implemented in JASP" Cheers, E.J.
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Dear C, Thanks for the post. This seems like a feature request/bug report issue. It would be great if you could post this issue on our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). It's the most ef…
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Hi winwinwin, The implementation of the Bayesian ANOVA was lagging a little bit behind. The upcoming version will fix this! (courtesy of Don van den Bergh) Cheers, E.J.
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Dear cludowici, This is a tricky one for me to answer, as I am mostly working with JASP, and Richard has reservations to model-averaging. But I'll sign him in nonetheless, maybe he can at least speak to the general setup of the analysis. Cheers, E.…
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Hi Ronen, This is a really interesting issue. I think you should also be uncomfortable with the frequentist results, probably. But what seems to be going on here is model misspecification, on more than one level (the sphericity and the random effect…
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I'll ask the expert, Erik-Jan! (yes, almost the same first name)
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Dear Uhandoko, There is a whole literature on how to predict exactly. In general, I would say you want the uncertainty surrounding your point prediction, so you'd want to take the distributions for the beta's into account (rather than just focusing …
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Yes. See http://www.ejwagenmakers.com/2016/LyEtAl2016JMP.pdf for details and equations. We use this fact in our "Summary Stats" module, which takes t and N to produce a comprehensive Bayesian analysis. E.J.
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Yes. Johnny has developed and implemented it. I'll ask him about the current status as far as the JASP implementation is concerned (the paper is at https://arxiv.org/abs/1712.06941) E.J.
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The next version is only weeks away Cheers, E.J.
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Hi mrvallejo, I'll ask Johnny (who has done most of the frequentist ANOVA work). It seems to me that what the ANOVA model assumes is normality of the residuals, but Johnny will know best. Cheers, E.J.
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Hi Uhandoko, We are finishing up a tutorial paper on this. I have asked the first author to send you a draft. Quickly though: If you tick "compare to best model", the models will be arrange in decreasing order of predictive performance. I…
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Hi Martin, I'll ask the expert in our team. We are nearing a new version, so it would be great to see this fixed (if it is a bug). Cheers, E.J.
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Hi danke147, You can get the 95% credible interval if you click on "prior and posterior plot". I agree it's not optimal though. Ideally we report this in a table, and allow the user to set the %. I'll make a GitHub issue for this. Cheers, …
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Hi Max, I'll direct your question to our meta-analysis expert. Just for my own education: what exactly do you mean with "dependency"? Cheers, E.J.
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Let me ask those in the know... E.J.