EJ
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- EJ
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Comments
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I don't think so -- the two groups is the dichotomy, and the ranks (of strengths) is the ordinal variable. E.J.
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The Wilcoxon is based on an MCMC algorithm, so results will vary. You can improve its robustness by upping the number of samples.
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I assume you want to change them to scale, from ordinal? Under "Preferences" -> "Data" there is an option to set the threshold. Does this help? Cheers, E.J.
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Dear Patrick, Yes that would be nice. I don't immediately see this is possible -- could you make a feature request on our GitHub page? Cheers, E.J.
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I believe this question was answered by Don van den Bergh (was it on GitHub?!) Cheers, E.J.
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Dear rpizzie, Thanks for your thoughtful question. I think there is a (Bayesian) issue with the two-step method, where you first compute the residuals and then introduce x1. First, what you ought to have is a distribution across each residual -- the…
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JASP is 100% reproducible, as the GUI is set up to store the analyses that were executed and the options that were used. So if you open any jasp file you are able to recover exactly what options were chosen and what data were used. The difference is…
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I asked Erik-Jan (who has just started as assistant professor in Utrecht) and he mentions this is somewhat of a puzzle. "Someone" should study the parallel analysis method with help of the data presented. Let me see if I can find "som…
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Dear pyrj, This is also known as the Mann-Whitney test. You can select that, tick "Effect size" and the output table will provide the result; the table footnote will inform you this is "the rank biserial correlation". Cheers, E.J.
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Hi Brian As far as projection is concerned, that's the term I use (with Angelika Stefan and Felix Schoenbrodt, who are working on this as well); the method is not often applied (yet). It is basically a Bayesian power analysis "on the fly",…
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The F and t values depend on sample size, whereas effect size does not. E.J.
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Dear blin100, The first sequential plot you showed (where the evidence first goes up a lot, and then goes down) is really anomalous: you would get this if the first half of the data showed a massive effect, and the second half showed an equally mass…
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I'll ask the team! E.J.
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Yes, in a meta-analysis you've have to use the same effect size measure for studies, or else you're comparing apples and oranges. What is recommended depends somewhat on the designs. For 2x2 contingency tables the log odds ratio is a popular measure…
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It seems that there is something going on with your data structure that does not allow you to conduct this test. In your interaction, how many participants are there in each cell of the design? E.J.
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Three days!! That is not normal. Then again, 14 covariates is a lot. I'll pass this on to the team. E.J.
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Ask away, that's what the forum is for E.J.
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Ahhh my bad, good to know it's fixed
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Reporting BF-0 solved the earlier issue. The new release will fix the labeling error, but you now have a way to get to the right number. If I understand correctly, you now report a new issue, which is that there are still "quite different resul…
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His response: "Sub-analyses are possible with the case filter feature, and running a meta-analysis on subsets of cases. But combining them in forest plots as in the example is not implemented. If I remember correctly I decided to not add that m…
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I think you might need to email Richard directly. Keep us posted!
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The next release is a bug-fix release, due out in a few weeks. But if you want to proceed right now you can just take BF-0 for the Wilcoxon: that will give you the right result.
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I think it is because you do the one-sided test, and the sidedness changes from regular t-test to Wilcoxon. You can see this when you do the two-sided test first; for the Wilcoxon, most mass is on the negative values. So you should compute BF-0 for …
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I'll ask our expert! E.J.
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Yes, see also here: https://forum.cogsci.nl/discussion/6582/ancova-in-rct#latest E.J.
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Hi Tom, I've asked some team members to respond... Cheers, E.J.
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The complication here is that you have multiple people in each group. I think what you might need is multivariate ordinal logistic regression. https://link.springer.com/article/10.1007/s10260-018-00437-7 https://cran.r-project.org/web/packages/mvord…
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Hi Whirly123, I'll ask our expert. BF are our goal for the future, but it requires additional work so we wanted to provide the estimation framework now. Yes, the ANOVA is linear, not generalized. It was implemented as a linear mixed model (in the R…
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Could you send me your jasp file? (EJ.Wagenmakers@gmail.com)
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Hi Jaiden, Well, the Bayesian one-sided test simply truncates the prior distribution (and therefore the posterior distribution as well) to be on one side of 0. But that still gives a well-defined posterior distribution, and 95% of the central mass o…