EJ
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- EJ
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Comments
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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
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Before the summer there will be a *major* new update EJ
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Whether or not you need weighting depends on your analysis, but for survey-style data it does seem wise in many circumstances. I don't think we have this yet -- please post the issue on our GitHub page...
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Agreed! But do let us know on our GitHub page! EJ
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:-) nice
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It is a good feature request, we will discuss this in the team
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This is tricky -- there will be a limit to what can be displayed, esp. in an automatic fashion. Are the same numbers reported in tables, so you could ponentially construct your own graph? I will forward this to those who are experts on this analysis…
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You mean you would like to show the difference in a plot, right? Probably with bars for the conditions, and then horizontal lines for the comparisons? I think this is more of a feature request for our GitHub page! (for details see https://jasp-stats…
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Ah, OK, I see the help file is not explicit about this. This is relevant for the one-sample t-test I think. I will ask our expert. EJ
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I think this is more of an issue for our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/), which will bring you in direct contact with the programmers. Also, it may help to turn on "Safe graphics&…
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Ideally we'd have Bayes factors in addition to credible intervals, as credible intervals are conditional on a model in which the effects are present. You could use BIC as a rough estimate of the BF under relatively wide priors. EJ
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Yes that makes sense You are right to select "compare to best model", because this yields the easiest interpretation. All models are then compared to the best one, which is "Valence". The reason for the 1.000 is because the Valen…