EJ
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- EJ
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Comments
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Hi Michael, Thanks for your question. Some quick thoughts: "BF of the model including the effect in question divided by the highest-ranking model without that effect." I do not like this procedure because it cherry-picks the highest-rankin…
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I would need to see a screenshot of the table, but I can already note that the BF measures relative predictive performance -- it is the evidence or the degree to which the data change our opinion. It is therefore *not* the probability or plausibilit…
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I believe that "condition on" allows you to compute a partial correlation. So it seems that this is what you want. I will ask our experts. Cheers, E.J.
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So for me, this happened once after I upgraded to a new version of JASP. The solution that seems to work is re-running the analyses by typing CTRL-R (Refresh), or CMD-R on Mac. Does this work? E.J.
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If you have too few observations in your design, higher level interactions cannot be estimated. I suspect this is the problem here. E.J.
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Hi KiKiSoul, Perhaps your variables are not recognized as scale? Do they have a ruler icon next to them? Maybe you can send a screenshot. If you want JASP to recognize variables as scales rather than ordinal values, you can set the threshold under &…
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Let me check...
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[I have now tweeted this, https://twitter.com/JASPStats/status/1332345849700114433]
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I will tweet this (sorry about the tardy response). We are in the process of constructing a forum specifically for teachers, but that is work in progress. Cheers, E.J.
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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!