EJ
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- EJ
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Comments
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Do you have a concrete example, possible urls, and an existing R package in mind? EJ
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The analysis demands that the variables are scale, not ordinal -- the star next to the ruler icon indicates that they are treated as scale to make the analysis possible.
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There is --all code is open-source-- but when the R button is absent is will be similar to an archeological expedition on GitHub. I recommend that you issue a feature request asking for all code to have the R button.
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I'll forward this to our expert. I think it is a known bug! EJ
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I will forward this to the experts. If we mention it in the helpfile and it is missing it might be an oversight and you could issue a bug report on our GitHub page (https://jasp-stats.org/feature-requests-bug-reports/) EJ
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Hi Vinschger: Exactly. If you treat them as scale variables the analysis is much simpler. Otherwise you have to use ordinal analyses, which are less developed. Luckily people often analyze the mean across several Likert scales, which behaves more li…
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Definitely!
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This is an issue is for the JASP GitHub page, which will bring you in direct contact with the programming team (for details see https://jasp-stats.org/feature-requests-bug-reports/) Cheers, E.J.
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I am not sure JASP can handle censoring in its regression routines (my currenty guess is that it cannot). You might want to issue a feature request on our GitHub page -- see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ Cheers, …
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Also, I think this is more of a bug report, and therefore more appropriate for our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). This will bring you in direct contact with the programming team EJ
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Hi Dan I'll bring this to the attention of our experts. In the mean time, I do not see your attached data. Cheers, E.J.
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I've commented here already: https://forum.cogsci.nl/discussion/9837/enforce-the-principle-of-marginality-for-random-slopes-brm-anova#latest
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Dear Johan, Correct. The principle of marginality has recently been debated in a series of papers related to these: van Doorn, J., Aust, F., Haaf, J., Stefan, A., & Wagenmakers, E.-J. (2023). Bayes factors for mixed models. Computational Brain &…
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Dear Alex, My first response is that you are being too optimistic. With only N=30 and already 2 covariates in the null model, I don't think you can test the impact of another 9 covariates. If you evaluate all possible models, I would recommend mode…
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Our meta-analysis expert happens to also be our survival analysis expert, so he might be interested in this; might be a good request for our GitHub page as well (https://jasp-stats.org/feature-requests-bug-reports/)
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Strange, and perhaps a bug. Best therefore to post this on our GitHub page, as this brings you in direct contact with the programming team (https://jasp-stats.org/feature-requests-bug-reports/) Cheers, E.J.
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For completeness, that issue is at https://github.com/jasp-stats/jasp-issues/issues/3397
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Do you sure you are using the latest version EJ
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Are you already discussing this with the programming team on GitHub? Because it starts to look like an issue for them... EJ
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This is *very* high on our to-do list (as well as other extensions to survival analysis)
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Do you have a screenshot?
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which alternatives did you have in mind, specifically? EJ
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So you have double-clicked on the variable name? (on top of the column) A screenshot could help...
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https://forum.cogsci.nl/uploads/463/J0JEA7TD9GM5.jpg
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Bayesian mediation is in JASP, right? Just not with Bayes factors under informed priors.
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Have you looked at the example in the JASP Data Library -> Network analysis?
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Oh I see Frantisek has already addressed this.
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I will forward this to our expert but what I would do is start with the very simplest model, and keep adding the most important factors until the model stops running. I suspect the data are too sparse to support a relatively complex model (as is oft…
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I've attended one of the members of our quality control team to this... EJ
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Yes, Don! I will ask him how far he is with this. EJ