EJ
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- EJ
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Comments
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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…
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Lindley (1985) uses the zero, so "0", but a lower-case "o" seems to be more common (https://en.wikipedia.org/wiki/Odds)
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Well, if you would just report BF_U you would ignore the post-hoc character of the test. So I would report the BF_U but also the posterior probabilities (which are corrected for the post-hoc nature of the test)
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Hi Nils, It is conceptually cleaner to say that the BF is just the BF -- for an assessment of the evidence does not matter how many hypotheses you are testing. But if you were testing many hypotheses, in a haphazard fashion, this usually indicates t…
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Not at the moment. We are working on the implementation of a missing data imputation routine, but we won't have that done for a few months. Cheers, E.J.
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Well there *are* two bounds -- and one of them is at -infinity. I have a footnote on this in some paper, let me check...Yes, see footnote 3 and earlier associated text in https://link.springer.com/article/10.3758/s13423-017-1343-3 A quick Google sea…
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Good that you got it to work. I'll pass this on to the team.
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Hi Jaiden, From memory: for the one-sided test, their are two bounds, but one is plus infinity or minus infinity, right? This sounds silly, but then again, if you want inference that makes sense you should become a Bayesian instead ;-) Cheers, E.J.
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OK, so our mixed modeling expert is not aware of any Bayesian tutorial papers. I guess we'll have to write our own! :-)
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Well you could do things this way. Beware to average the log BFs, not the raw BFs -- the mean of 3 and 1/3 is not 1. However, when you describe the problem as follows: "A psychology version of the kind of experiments I'm running/analysing would…
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I suspect this is an old issue related to whether or not to pool an error term, but I've asked a team member just to be sure. Regardless, thanks for bringing this up.
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Hi Mila, Good timing, we have started a project to get to the bottom of this. The discrepancy seems to center exclusively on repeated measures ANOVA. Do you have an example data set you could share? Cheers, E.J.
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Hi Francesco, I would guess that if you use something like EBICglasso, the cutoffs are based on EBIC, not on a p-value. But I'll ask our experts for clarification. Cheers, E.J.
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Hi Liesbeth, PLS SEM is not yet possible in JASP, but we have it on our radar. Otherwise, JASP uses Lavaan syntax, so whatever works in Lavaan will work in JASP (which is really just a GUI on steroids for R and R packages). Cheers, EJ.
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Hi Elise, This is presently not possible within the new mixed model functionality. However, the Bayesian ANOVA in JASP is based on the BayesFactor package in R, and this implements a mixed model. So it should be possible, but honestly I haven't chec…
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I've asked our SEM expert for advice (sorry about the tardy responses, I've been absorbed by the demands of online teaching, only catching up now...) E.J.
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Hi Michael, Thanks for your post. My answers, briefly: The reason not to use a parameter estimation approach for hypothesis testing is because these are different endeavors that address different questions. See for instance Wagenmakers, E.-J., Lee, …
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Have you confirmed that your variables are not nominal? Maybe you could send along a small part of your data set (or some made up values) as a .jasp file so we can give it a go? E.J.
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Hi Cathy, This would be good to have. I'll make some inquiries. Cheers, E.J.
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Hi Rohanp16, Not sure about the workings of brms. We once coded this in WinBUGS (http://www.ejwagenmakers.com/2009/WetzelsEtAl2009Ttest.pdf). The Lee & Wagenmakers (2013) textbook (https://bayesmodels.com/) also provides JAGS/Stan code. Ioannis …
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Hi Liesbeth That is really strange. We are aware of some bugs that needlessly created large files, but not being able to open files you have created is a serious issue that we wish to resolve. But I am not the right person for this job -- this needs…
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Update: no, there is no way to do this currently. There is a recurrent discussion within the team, but without having reached consensus on whether and how to implement this. Cheers, E.J.