EJ
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- EJ
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Comments
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Hi Janina, This is a tricky one! Right now I don't think this can be done in JASP, since the parameter priors for ANOVA are all centered on zero. However, perhaps it is possible to consider a t-test reformulation of the main idea? Cheers, E.J.
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Hi Brandt, -- Reviewer 2, nice :-) This would be a great feature request! (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) In the meantime, I am sure that there is an R package for this...the easiest solution is t…
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Indeed, it is as Famondir says. The differences are due to the stochastic nature of the MCMC process. By increasing the number of MCMC iterations this variability can be reduced, but it will never be zero exactly. E.J.
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He's trying to finish up his thesis before Jan 1st, but I'm sure it will be his first order of business in the new year :-) E.J.
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Hi ARF, I do not know why you would want to subsample, but I will take this as a given. One issue is whether the subsamples are partially overlapping, as you'd get from a standard bootstrap approach. If so, this overlap needs to be taken into accoun…
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I am pretty sure we offer a complete analysis, but I'll forward this to the experts. Cheers, E.J.
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Hi Noortje, Well, if you just plug in the numbers you'll automatically get a test that compares against zero (which is not what you are interested in, as it makes no sense). But you will also get a confidence interval, which would be what you are lo…
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Hi Michif, Sorry for the tardy response. Yes, the app you found only does t-tests Correct, the power analysis functionality is still missing in JASP Reducing alpha to .005 is indeed a sensible alternative approach The classical concept of power refe…
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Hi Tim, I'm not an expert on the LASSO either (why not use the Bayesian option?) Anyway, I think that for general background you'll have to consult books, Wikipedia, blog posts, online courses, YouTube, etc. Cheers, E.J.
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Hi Eustis11, Sorry for the tardy responses, I have been a bit swamped. No, JASP does not do time series analysis yet, but we are taking it under development. Cheers, E.J.
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Hi Eustis11, Not yet. There are methods in R to do this; specifically, Rivka de Vries and Richard Morey worked on this problem. Rivka's dissertation is here: https://www.rug.nl/research/portal/files/15849947/Title_and_contents_.pdf Cheers, E.J.
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Hi Michael, We are wrapping up the paper now, and I suspect it is more efficient if we send it along when it is done. It is surprising how what complications lurk beneath the surface of a relatively straightforward model. Cheers, E.J.
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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.