EJ
About
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- EJ
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Comments
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Hi Mila, For some reason the png files do not work for me (I'll ask Sebastiaan what's up). This makes it difficult to answer your question. Could you specify exactly which analysis option you are using? As soon as I know I will pass on your question…
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Hi Mark, Can't see the png's, but I think it is the result of rounding. When all of the models with non-zero (up to rounding~) posterior probability include the effect, the summed posterior inclusion probability is 1.0, and the corresponding inclusi…
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Hi Mark, Sorry for the tardy reply. I'll ask Koen Derks. Maybe it's a known issue. Cheers, E.J.
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Dear Kiner, It does seem as if MANOVA is the way to go. I'll ask Johnny van Doorn about documention and possible JASP examples. Actually, before I do, does this gif help? https://jasp-stats.org/wp-content/uploads/2019/06/Manova.gif Cheers, E.J.
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Hi Georges, It actually was more or less a joke, to tease the Bayesians who (correctly) felt that evidence is continuous, not discrete. However, maybe some people find it useful -- you could argue that the non-diagnostic BFs deserve less attention t…
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Hi Flix, Thanks -- I'll pass this on! Cheers, E.J.
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Hi OCOD, Good point. I will pass this on to Don van den Bergh, who did most of the recent work on this. On a side note, we are really close to having R syntax support, which should hopefully make everything clearer than it is now. Seems we are two v…
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Hi Rick. Sorry for the tardy reply. I can only respond with some brief suggestions and general ideas: If you want more flexibility (long format for instance) take a look at the BayesFactor package in R. This is not a trivial stats problem, it seems …
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Hi Simon1, These thresholds are somewhat arbitrary, and the evidential value is in the continuous measure. See for instance https://www.bayesianspectacles.org/lets-poke-a-pizza-a-new-cartoon-to-explain-the-strength-of-evidence-in-a-bayes-factor/ So …
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We're still working on it, and I am pinging the person responsible every time this comes up :-)
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Hi Georges, Well you could post it here, or email some people for feedback. Cheers, E.J.
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Hi George, About multiplicity: yes, I do think a correction is in order, unless you want to go fully subjective Bayes -- with carefully specified prior plausibilities for all hypotheses involved, there is no need for a correction. Some relevant refe…
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Hi Martin, Thanks! There's a project ongoing in my lab where we look at the same issue (not in a state to share, but getting there). I know Joris Mulder and Florian Boing-Messing have also worked on this. Cheers, E.J.
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Dear Narcilili, Hmm I have not given this much thought. Perhaps the authors of the BayesFactor package have done this, and I will attend them to this question. Cheers, E.J.
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Hi Philip, Good point. I'll ask Don van den Bergh. We switched from the linear regression in the BayesFactor R package to that in the BAS R package (faster, more options -- we kept the defaults the same though). My guess is that BAS does not give an…
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Hi dkelly84, I'll post this issue on the JASP GitHub page. Cheers, E.J.
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Thanks. Someone (you?) also attended us to this on our GitHub page; we are fixing it. E.J.
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Yes, that's correct. If you use ANCOVA I think it should be a fixed factor. In the future we'll try to integrate these approaches better (i.e., recognize that a binary predictor variable requires different treatment within the regression GUI) E.J.
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Hi Ben, The easiest way is to import a .csv. So organize your spreadsheet in Excel or Calc or whatever spreadsheet editor you use, save as .csv, and import in JASP. Cheers, E.J.
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That's correct but it does not yet include the Bayesian version
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I'll forward this to Richard...
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Hi Friedrich This is under development and we should have it out in the next release Cheers, E.J.
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Hi Lior, A change from 2.5 to 12, based on about 80 additional participants, is not such a large jump. What is remarkable about this sequential plot is not the "jump", but rather the fact that up to 420 or so participants you have such sta…
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Dear Ferengki, We offer various normality tests (depending on the analysis; more importantly, we offer QQ plots); reliability tests are in the menu (for the moment they are under Descriptives -> Reliability Analysis). What exactly do you mean wit…
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Hi JohnAtl, We are currently working on including linear mixed models, but we're not quite there yet. With 90 trials (I assume 45 per condition), I would be amazed if your conclusions depend on the unequal data sizes. So I am going to be rebellious …
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Hi Anna, If you have a massive BF you can tolerate a high error rate. Does it matter for your conclusions whether the BF is one trillion or two trillion in favor of the alternative hypothesis? Probably not. BFs this high will have a lot of action in…
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interesting problem!
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This also works for the correlation test and the AB test. E.J.
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Hi Lior, It would be informative if you could show the sequential plot so we can assess the size of the jump; Very large jumps suggest that the observations that gave rise to it may be an outlier An evidential threshold of 3 is not a lot. Under equa…
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I'll ask the team member who knows more about this... E.J.