EJ
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- EJ
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Comments
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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.
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Hi sjp, This is more of a question for the programming team I think (I'll attend them to your post), so a discussion for our GitHub page I think Cheers, E.J.
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Hi Stephanie, This question is best posed on the JASP GitHub page, where our programming team can help you out! For details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ Cheers, E.J.
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This is strange. There is always the option to unzip the JASP file and view the .html output file, but for a better solution please post this issue on our GitHub page so our programming team can assist you efficiently. Cheers, E.J.
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Maybe it is a good idea to go over some of the examples in papers such as this one here: van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharsky, S., Komarlu Narendra Gupta, A…
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Dear Raquel, Just to get this straight (because it is a little unusual): you have one continuous variable (say income) and you use this to predict two categorical variables (say gender scored as male, female; and haircolor, scored as black, brown, b…
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Hi Anton, What test are we looking at? If you seek a p-value for something non-normal, there are options: Use the nonparametric bootstrap Use rank-based methods Apply transformations. Cheers, E.J.
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No neural networks yet in the ML module, I think. If you have suggestions on what R packages to include, and what functionality to support, that would be welcome! You can make feature suggestions on our GitHub page. Here is the list of ML methods we…
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:-) thanks, I was about to ask our experts E.J.
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No worries, good to hear