EJ
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- EJ
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Hi Darren, p-values are approximations for a test of direction. See http://www.ejwagenmakers.com/2017/MarsmanWagenmakers2017ThreeInsights.pdf There are some good reasons to move from the standard "alpha=.05" level to a stricter "alp…
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Hi M, It all depends on the priors. Basically, you can obtain the prior odds by sampling from the prior distributions; sometimes you don't have to, and you can obtain the desired odds analytically. Also, the prior you set may be guided by your test…
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That said, we actually have developed a Bayesian version of Spearman. Paper and implementation in JASP will hopefully follow soon. Cheers, E.J.
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Hi Philippe, About the exact p-values: check out next week's blog post (https://jasp-stats.org/blog/) About Bayesian Spearman: no, unfortunately it is not that simple! For instance, if you have N=3 and the ranks perfectly correspond, conducting a t…
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Yes, your interpretation is correct. Of course the BF of 2.77 is not a BF of 1, so there is some evidence. I would interpret this BF to say that there is some evidence in favor of including RA on top of gender, but that this evidence is only weak. F…
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Hi GerineL, We will have Bayesian post-hoc tests for one-way ANOVA in the next version of JASP. I agree it would be nice to have a paper on how JASP does Bayesian regression, but we are in the midst of upgrading/overhauling that analysis, so this w…
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Yes this sounds OK. In general, I am in favor of reporting a series of different analyses; hopefully they point in the same direction. At the very least, they allow you to answer slightly different questions. I was surprised and intrigued by the sug…
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Hi James, The default Cauchy is centered on 0 and has a scale factor "r" that determines the width. This scale factor happens to equal the interquartile range, such that, when r=0.707 for instance, 50% of the prior mass lies in the interv…
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Hi Darren, I am not 100% sure, but I don't think that you can compute R-squared from standardized betas, t- and p-values, unless you are willing to make some strong additional assumptions (e.g., uncorrelated predictors). In other words, I don't th…
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Hi esv, First off, there's more information here: https://arxiv.org/abs/1704.02479 Second, I think that once you step away from the default Cauchy centered at zero, you are now find yourself firmly in "informed prior distribution" land. …
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Hi GerineL, You might find some help in here: rdcu.be/tZ29 I think you probably forgot to set the OSF folder to public, because I can't view the html file. Cheers, E.J.
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We'll look into it. If you are really eager, you can inspect the JASP code on GitHub and see what arguments to the R function we call. I'm inclined to trust R over SPSS, but that's a general prior value judgement.
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JASP uses an R package for this, must be the settings that make the difference. I'll ask Johnny to look into this.
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Yes, Johnny will look into it when he returns from a conference and we'll update you on our progress. E.J.
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OK, based on some quick research by Johnny van Doorn, it appears that the formula is in need of correction when there are within-subject factors. This is a good catch. We'll fix this in our upcoming release. Cheers, E.J.
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Definitely! We are working to develop and include analysis methods based on ranks -- these methods naturally make assumptions that are much weaker. E.J.
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Hmm. Let me ask a team member and get back to you. E.J.
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Dear startfromzero, I believe that the Bayesian ANOVA does make assumptions, for instance about homogeneity of variance. This is similar to the Bayesian t-test that assumes a common sigma. One may develop a Bayesian Welch test (with two sigma's, on…
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The next JASP version will present to options for "Analysis of Effects", namely "across all models" and "across matched models" -- the second one is Baws ;-)
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I'd say you interpret the interaction, as you propose. JASP respect the principle of marginality, so models with the interaction automatically also include the constituent main effects. E.J.
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Hi Eniseg2, Well, the model with the interaction is preferred over the other models. Compared to the model with only Season, the BF = 870/190 = 4.58. Maybe it also helps to select "Compare to best model" and set the Bayes factor display t…
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BF simply quantities the evidence. On average, more participants means more evidence, but it is possible to obtain decisive evidence with few observations. The sequential analysis shows the evidential flow as the sample grows. E.J.
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Hi metamorphose42, Yes, you can use BFs. Opinions differ on what to make of this in case of multiple comparisons. I personally am in the Jeffreys, Scott & Berger camp, who argue that you ought to adjust your prior odds. Basically, they argue, i…
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Hi Julian, This issue is best dealt with on our GitHub page, so you can talk to the programmers directly. They will probably want to see your file too. Cheers, E.J.
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From JASP guru Bruno Boutin: "Sebastian is correct. On Ubuntu we use the existing R packages".
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I'm sure this will take some more time. I'll make an inquiry as to the current state of play. E.J.
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Ah, let me ask the team. E.J.
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Nope it won't interfere E.J.
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Hi Mieke, This is not (yet) possible in JASP, unfortunately. It is an important analysis. E.J.
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For an interpretation of the strength of evidence that a Bayes factor provides, see the cartoon here: https://osf.io/3acm7/