EJ
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- EJ
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Comments
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Strenge and unwanted behavior it seems. You could try one of our nightlies or else create a bug report on our GitHub page so the programmers can take a look. Cheers, EJ
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We are in the process of testing it; quite a lot has changed so we need to be thorough. Feel free to check out a recent nightly. Cheers, EJ
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As you mentioned in a later post, I suspect you are estimating too many factors with too few data. But JASP should output a more informative error message I guess
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Did you look at any collinearity diagnostics?
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The correct reference is just "JASP". The abbreviation was concocted afterwards, and initially it did not stand for anything, in particularly not "Just Another Statistics Program". When we refer to JASP ourselves, in published pa…
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I see that your error percentages are very large, around 40%. This means that different runs can give different results. If you set a seed then you should get the same outcome, but this no longer holds when you change the order. So: if you don't set…
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The results cannot depend on the ordering (or at least I don't see how). They will depend on the seed though. I have asked a team member to look at this. E.J.
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Well, if you compare different models you get different BFs of course. What models you wish to compare is not a trivial matter. There is the issue of matched models, and there is the related issue of the principle of marginality (i.e., should it be …
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This strikes me more as a confirmatory factor analysis?! EJ
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Definitely! EJ
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I've asked the team Cheers, E.J.
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I've asked the team Cheers, E.J.
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I've asked the team! EJ
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I recommend this for an overview: https://osf.io/preprints/psyarxiv/s56mk We use this in ANOVA as a correction for post-hoc t-tests. (the Jeffreys/Westfall correction) EJ
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The upcoming version of JASP will have hierarchical regression implemented in a more intuitive way. I will ask a team member to elaborate. Cheers, E.J.
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Hello Faming, Do you mean Shapley values? Can you include a link or citation to clarify the concept you are referring to? Cheers, E.J.
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Hi Christoph, If you are testing the difference between two proportions, I would recommend the AB-test instead (see for instance https://osf.io/preprints/psyarxiv/z64th) You can find many papers on this test on my website (https://www.ejwagenmakers.…
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Hi Mor, I think it would help if you show a concrete analysis with some screenshots...and have you read the background literature? Cheers, E.J.
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It would be useful to know what the numerical precision is for which the BF produces "infinity". There is an argument that the BF ought to be reported as "> x" where x is the maximum precision, instead of "infinity".…
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Would be a good feature request! EJ
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Hi Debora, This is not mentioned in the help file? And the help file does not point to an R package? I will ask a team member to look into this Cheers, EJ
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Dear Abhay, That will not work. But it would be a good feature request! (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) Cheers, E.J.
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Indeed, small effects in the sample are more likely to arise from the null model than from the alternative model. Some discussion on this is at https://pure.uva.nl/ws/files/52486656/s41593_020_0660_4.pdf EJ
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We are in the process of testing the new version now! EJ
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Also, it seems more of an issue for our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) EJ
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Yes this would be very good for the team to know. There might be reasons why the code is executed again (perhaps some results are discarded when the file is closed in order to keep the file from exploding in size), but I am not sure. EJ
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This looks like something for our GitHub page! (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/)