EJ
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- EJ
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Comments
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This depends on the specific problem. I am not sure why you would want to recode a continuous variable (since this is losing information), but currently that is probably most efficiently done in R. Maybe the "compute new columns" functiona…
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Dear Imbar, Well this depends. There is something to be said for both. But if the interest is really in each of the two main effects separately, I would be tempted to monitor BF10 for the model with only main effect A versus the null model, and BF10…
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JASP has a machine learning module that does the splitting, but I don't think we do this for logistic regression. I guess you could do this, but given that all of the standard statistical machinery is already available, I am not sure why you would w…
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Also, JASP should be able to handle more than one random factor I believe...
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Have you checked the help file? Also, there is this paper: https://shs.cairn.info/revue-l-annee-psychologique-2020-1-page-73?lang=fr van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q.…
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This error (the matrix not being positive definite) arises when the model is overparameterized, or when the items have severe overlap. Ultimately this is a lavaan issue, but you might want to check the correlation matrix of your items.... EJ
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Let me speak for Johnny, as I know he's busy teaching. The assumption (and yes, it is a parametric assumption) is that the latent distribution is normal. But my current thinking is that this is a relatively mild assumption, since it applied also to …
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I'll ask the team EJ
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Hello! Here are some answers: The JASP website is a hub for all things JASP. For instance, check out https://jasp-stats.org/jasp-materials/ That similarity is not a coincidence, as it is the work of the programmers who I initially hired to help set …
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I'll ask to make sure EJ
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Dear Neeraj, In the context of what specific analysis is this? We do have an ROC curve in the Learn Bayes -> Binary classification module, for instance EJ
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Hi Frans, Yes, but in order to take action it would be great if you could issue a feature request on our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) Cheers, E.J.
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Other than saving the plots and editing them in different software (e.g., Adobe) I'm not sure. A good feature request for our GitHub page! EJ
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This is 0.19? If so, please report this on our GitHub page. I have seen this before and hoped we fixed it... EJ
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Hi Sophie, Do you mean Gauge R&R? This is available by activating our "Quality Control" module from the module list (blue + sign on the top right). Also, you might want to check out the examples in the JASP data library. Go to File -&g…
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Everybody is still on vacation :-) I'll schedule-send a reminder EJ
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Yes, best to upvote that issue if you want to put a little bit more pressure on this feature :-)
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We are working to make the setup more modular and more lean, but this will take some time (we have programmers working on this at the moment, however, so it is getting done). EJ
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This looks like a bug, and as such it is more appropriate for our programming team. Please post this issue on our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). BTW, the error might arise from the u…
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Correct! EJ
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Hi Luke, Well, the thing is this. If you want a more narrow prior, the BF will approach 1, as H1 will morph into H0 when the prior is infinitely peaked around 0, and you are comparing two identical hypotheses. So when I specify an informed prior, I …
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Hi Luke, The difference occurs because of the Jeffreys-Lindley paradox (https://link.springer.com/article/10.1007/s00407-022-00298-3). The estimation approaches do not involve H0, but the BF does. See also BayesianSpectacles.org, the posts on the (l…
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I've passed this on
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Dear Ashley19, What method does Minitab use? I would trust the bootstrap more. Cheers, E.J.
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Hi Mirjam, Our Bayesian Mann-Whitney expert is enjoying a holiday, but I have attended him to your post! Cheers, E.J.
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Soon, very soon...
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You could dispense with it, but you might need to appease the reviewers. Maybe this is useful? https://arxiv.org/abs/2406.19940 EJ
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We have not done mediation with Bayes factors yet (although see https://www.ejwagenmakers.com/2015/NuijtenEtAl2015.pdf). As a rough approximation for the moment I suggest using BIC. EJ
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This is more of a bug report I think. Could you post this issue on our GitHub page? (for details see https://jasp-stats.org/feature-requests-bug-reports/)
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Well the tables suggest that "position" and "distance" need to be included no matter what. This would not allow these to be tested, but it would narrow down the model space -- which could be what causes the numeric instability. S…