EJ
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- EJ
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Comments
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OK, I'll forward this to our stepwise regression expert :-)
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Sorry for the tardy response! Do you mean that "group" seems unlikely, even though there is a lot of evidence to prefer it over the null? This is because the BF_10 column compares each model against the null, whereas the P(M|data) column t…
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hi Jannik, Can you send along a .jasp file or some screenshots so we can reproduce this? Cheers, E.J.
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I'll pass this on to the team. E.J.
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I am writing a tutorial paper on how to interpret these Bayesian ANOVAs. In the meantime, this is the go-to paper: http://www.ejwagenmakers.com/inpress/RouderEtAlinpressANOVAPM.pdf
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Hi Tobi, It still would not matter. The BF gives you a continuous measure of evidence. The thresholds are arbitrary conventions. Useful for quick interpretation but one should never lose sight of the underlying continuous values. in other words, God…
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That discrepancy is subtle. You would draw the same qualitative conclusion in either case. In my opinion, a BF of 2.2 is seriously different from a BF of about 8. As far as the different models go, often there is no better or worse -- the only thing…
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Hi Tobi, OK. Here's what's going on: (1) In a between-subjects design, the Bayesian t-test (with default priors) gives the same result as the Bayesian ANOVA (with default priors). (2) In between-subject designs and in within-subject designs, the cl…
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Are you doing your t-test on the difference in scores? Is this case there can be a discrepancy. But if you do your t-test on the two columns of data, the results should be the same (under the default prior in ANOVA and t-test)....Hmmm I'll look into…
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I would be highly surprised if --with 20k datapoints-- the non-normality affects the qualitative conclusions. What you can do to check is transform the data to (approximate) normality and carry out the test on the transformed data. With 20k particip…
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Oh, no, the degree of robustness has not been verified. But both classical and Bayesian tests rely on the same basic features of the data, so it stands to reason that they will be similarly affected. Cheers, E.J.
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Hi ssk, The best way to understand what the width parameter does is to try a few values and inspect the prior-posterior plot. In the current version of JASP, all Cauchy priors are centered on 0, so the median is 0 (the distribution does not have a …
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Hi MiraSo, * Right now JASP does not do data editing. So you'll have to first exclude your subjects in Excel, R, Word, or whatever data editing program you use, and afterwards use JASP. Not ideal, and we are working to include editing functionality…
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Hi AnneG, There is a lot of information here. In JASP, are you trying to test the Main * Orient interaction? In that case, the relevant output is: Main + Orient 0.200 0.038 0.158 0.060 2.344 Main + Orient + Main ✻ Orient 0.200 0.014 0.058 0.023…
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Hi duplex, If you ask for the R code on the JASP GitHub page then one of our programmers can send you the code. The code is of course also available on GitHub, but you might have to do some digging. In addition, see http://shinyapps.org/apps/RGraph…
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Hi C_B_Prof, Check out the "Descriptives" -- first tab on the ribbon. JASP does not do data-editing yet, but it's in the works. Cheers, E.J.
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Yes and yes. Also, we are working to include nonparametric Bayesian tests. Cheers, E.J.
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Ah yes. Well that requires a separate development. You could plot the two posteriors and eyeball them, but that is not a real test. We have it on our radar but it will take some time to get done. E.J.
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Hi Ether, Really, this is not a problem. We do not make any of these changes. However, if you want to discuss this with our programming team, you can create an issue on GitHub (see the link on https://jasp-stats.org/feature-requests/). You have to …
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First, Richard Morey and Jeff Rouder have a paper on BF meta-analyses (2011 in PBR, a response to Bem). Second, are you interested in a BF for the difference in correlations? E.J.
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Thanks, I'll pass this on. EJ.
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Hi Ether, You are not supposed to peek inside the exe! :-) To clarify: JASP uses R (and specific R packages) under the hood, so we need to bundle it together with the GUI routines. The JASP installation happens in a way so that it does not interfer…
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Either that, or refer to the default and cite the BayesFactor package documentation for details. E.J.
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If you've got a variable "time" ("1", "2", "3", say) and you pick split by "time", then it should work. But it is difficult to convey these things without the benefit of a drawing, so maybe I misunde…
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Hi Sarah, The box plot is a recent addition and we are still working out ways to extend it. That error message sounds like it might be a bug though (different numbers of response should not be a problem) -- can you report it on the JASP GitHub page…
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When you set the "samples" function to manual and you increase the default number (which is what "auto" does -- I guess we could have called it "default") then you can decrease the %error in the estimation of your BFs. …
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Hi Daniel, Yes, that is correct: for the BF and the posterior distribution, r and N alone are sufficient. See http://arxiv.org/abs/1510.01188 for details. As far as the quantitative meta-analysis is concerned, I'd prefer to see all of the BFs; usi…
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It appears to me as if you wish to do a comparison of two multinomials. There is one multinomial per group, and each multinomial has the disease categories. So it looks as if you need the contingency table functionality. Cheers, E.J.
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You can send it to jasp.stats@gmail.com
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My solution is to give the variables really short names :-) I'll pass this on to the programmers. E.J.