EJ
About
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- EJ
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Comments
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Hi Juliane, You have to be careful with covariates. Suppose you have different groups and you suspect your DV is influenced by IQ. You have measured IQ and the distribution of IQ is approximately the same in the different groups. In that situation …
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Hi Spacediver, You mention: "But to me, this seems to indicate a ratio of the probability of an effect size 0 given the prior, relative to the probability of an effect size 0 given the posterior." You are exactly right! But by mathematical…
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Not sure about this. What I would do is create a Bayesian hierarchical model, use vague priors, and inspect the posterior distribution for the group-level mean effect size. The one-sided p-value should be very similar to the area of the posterior di…
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My bad! Yes, you are right, g informs the prior (see also http://www.ejwagenmakers.com/2012/WetzelsEtAl2012AmStat.pdf) Cheers, E.J.
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Hi Julie, The code should specify some "r" scale value that you can change...yes, see here: http://www.ejwagenmakers.com/2012/BFcorrelationsLargeN.R Cheers, E.J.
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Hi Julie, There's nothing wrong with the WW2012 approach, but if you want to do this in JASP then you can selection "Bayesian correlation pairs" and explore different prior widths. The JASP version of the correlation test comes from Jeffr…
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Dear researcher, JASP does compute Spearman but not yet in a Bayesian framework. We have completed a Bayesian version of Kendall's tau (paper accepted pending minor revision) and hope to add this to JASP soon. Spearman might follow suit. Nonparamet…
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Hi JR, This is largely a matter of taste I think. The first idea we had was to incorporate only the Bayesian analyses, but then we figured people might like to have the classical analyses as well. Anyway, one problem with combining the two is that …
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Yes there are plans :-) But it can't hurt to learn R! E.J.
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I believe that there's a R package by Raftery that could be helpful (forgot the name though). Cheers, E.J.
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Hi Alasdair, This is not implemented yet! It is on the list though. Cheers, E.J.
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Hi Kristel, Sebastiaan, As I was about to answer your post, I realized a similar issue can up earlier in the forum. Here's my previous answer, slightly edited: "As far as I am concerned, t-test as usually what researchers want to know if they…
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Hi Leah, These nonparametric tests are currently undergoing development. Johnny van Doorn, a PhD student in the JASP group, has submitted one paper (on Bayesian Kendall's tau) and is working on another. I'll see whether we can put the paper on ArXi…
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Yes, this is weird. The export function has gone. This is unintentional, and we'll add it back in asap. Thanks for attending us to this. Cheers, E.J.
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Hi Guha, We only have JASP working for Ubuntu Linux. If you look on the GitHub issues list you can see our previous (failed) attempts to get it to work on another Linux version (I forgot the name). Right now we've decided to focus our efforts on ad…
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Yes, data-editing is one of the major jobs on the JASP to-do list. E.J.
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OK, after talking to Richard it is now clear to me. Consider a situation with factors A and B. BTW, a specific example is always appreciated -- note that you can upload annotated .jasp files to the OSF and everybody can view the output. Anyway, con…
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Hi R_A, thanks for that question. It has me scratching my head. Perhaps Richard knows more. Let me look into this and get back to you. Cheers. E.J.
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Hi Lotje, This is not yet possible, but I will add it to the to-do list (we have been asked about this before) Cheers, E.J.
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Hi Matti, About contingency tables: the interpretation of the prior concentration is the main suggestion for improvement in the review process (it has gotten "minor revision" at BRM). So we'll work on that. You can think of "a" …
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Hi Pieter, Entering prior odds is something you can do easily yourself; multiplying them with the Bayes factor gives the posterior odds. If you want H0 to be a distribution, then you'll have to look at some of Richard's work on interval Bayes facto…
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Hi Pieter, 1. For the parameter under test (such as effect size), H0 specifies a point (e.g., delta=0), not a distribution. So under H0 we have a spike at 0, both as a prior and as a posterior. 2. Therefore, the prior and the posterior you see in th…
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Here we go: 1. "H0: score =< 6.4 H1: score > 6.4" This is the classical test. I have always considered it illogical, for the following reason. We have the two-sided test that compares H0: score = 6.4 against H1: score \neq 6.4. Now w…
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Yes, the svg format was high on our list at one point. I am not sure why we didn't do this already. Let me check GitHub...nope, could not find it -- I added it as a feature request. Cheers, E.J.
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Well I strongly agree, of course :-) We are working on a manual, videos, and a course book; I hope these may be useful to you when they come out (might take a while still). E.J.
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Hi Pieter, I can't speak for Richard but I'll do it anyway :-) What I think Richard meant by "preferred" is "receives the most support from the observed data" or perhaps he meant "preferred if the prior odds are equal"…
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Well, you'd have to use some sort of graphical editor. Right now the plots were constructed to look well by default, but the current functionality to change that default is still rudimentary or lacking. I feel the plots are an essential feature and …
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Gallistel writes "To decide which of two hypotheses is more likely given an experimental result, we consider the ratios of their likelihoods." The issue is how much emphasis to place on "given an experimental result". If you inte…
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Well yes, the BF equals the posterior odds under equal prior odds. But the reviewer was not saying this or implying it; from what I understood, the reviewer was trying to convince the authors that the theoretically correct interpretation of the BF i…
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Hi Sebastiaan, Statements 1 and 2 are not identical. They can be numerically the same but only if the models are equally plausible a priori. Consider for instance ESP. In a given experiment, the data may be 10 times more likely under H1 (there is E…