František
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There is actually one thing that might help us to identify the problem. Could you please download the attached file, unzip it, load it into JASP, refresh it, and verify whether the JAGS-JASP module reproduces the output? That way we can figure out w…
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Hi eniseg, I am really sorry, but I can't help you at this moment - I checked with our team and we do not have a machine running the M1 chip yet. There are many architectural differences between the M1 (based on ARM) and the older Intel (based on x8…
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Hi eniseg2, thanks for reporting the issue. The RoBMA JASP module should be completely self-contained within JASP, so, there should be no need of installing JAGS and the remaining packages yourself. Can you please clarify what exact version of MacOS…
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Dear Vincent, The GLMM approach to signal detection theory is indeed interesting, and it definitely would be a nice addition to JASP. I'm unsure whether we currently have the capacity to implement this analysis, but I added it to a list for future d…
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So, I got an answer regarding the same seed usage across different OSes. Setting a seed does not guarantee identical results across different OSes. Even completely deterministic algorithms may return different results across different OSes. There ar…
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Hi eniseg2, thanks for getting back to us and glad to hear that you did not experience a similar issue again. Regarding the file transfer between MacOS and Linux, I do not know whether that could have caused the issue but I will forward it to our te…
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Hi sherloconan, sorry, we do not currently support this feature in JASP. Our implementation is based on afex which builds upon lme4 that does not allow to fit models with different residual variances (as far as I know). This is however possible with…
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Hi Josh, sorry for the late reply, 1) we unfortunately do not have a pre-print. Since the paper is already under review, we will post-print it. I will ask my coauthors whether I can share it with you though. 2) yes, it's accessible in the JASP Regre…
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Hi jber3175, 1) You can remove any type of models/prior specifications under the Models section. There is a checkbox at the bottom of the section called Set null priors . Selecting the checkbox will open additional settings that allow you to speci…
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Hi jber3175, currently, the Bayesian Meta-Analysis analysis does not support a metaregression. However, you are correct that you can obtain a similar functionality from the Bayesian Linear Regression analysis - it's important to keep two things in m…
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Hi Agata, what you describe should not be the case. Especially in Bayesian Linear Regression where the BF are obtained by quadrature and are not dependent on the seed (the seeds matters for the posterior distribution and interval estimates when the …
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Hi Agata, Unfortunatelly, I did not receive the email at end and we did not manage to reproduce it internally. If you happen to achive the same problem, let us know please! Best, Frantisek
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Hi alg, as EJ already mentioned, the Bayesian mixed models do not support Bayes factors yet, so you can't properly evaluate the support for the null hypothesis. The default output (that you copied here) corresponds to the estimated differences betwe…
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By robustness check, or sometimes called "sensitivity analysis", I mean verifying that your specific analytic choices did not affect the results. For example, some people could argue that you should use all estimates, even though some of t…
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Yes, that would be my suggestion. I should also note that I'm a co-author of the method, so there is a conflict of interest. Nevertheless, I believe that RoBMA is the best available option in your situation. Cheers, Frantisek
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Hi Kindred, thank you for the additional details. I did not realize that you have multiple estimates from a single study. There are two possible ways how to deal with this situation: a) as your statistician suggested, select a single estimate from e…
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Hi Kindred, those are very good questions, let me answer them: 1) You would need to run a meta-regression to properly the effect sizes of different study types. Unfortunately, neither of the Bayesian Meta-Analyses supports the feature (yet). You can…
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Hi Kamil, sorry for the late reply. I think that the issue here is two-fold. First, correlation coefficients do not have symmetrical confidence intervals (unless the effect size is 0). When you pass the confidence intervals into the input of the me…
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Hi Kindred, happy to hear that you like the RoBMA module. Regarding the standard errors for Cohen's, there are, unfortunately, many inconsistencies between different packages and I think that there is no consensus about the best approach. The most i…
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Hi Anna, no problem, looking forward to your email. Cheers, Frantisek
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Hi Anna, thanks for the quick response. I tried to reproduce your finding using our test datasets but I did not manage to do so. Could I ask you to save the .JASP file from the analyses as well as a screenshot that marks the results that changed, so…
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Hi Anna, thank you very much for contacting us. Could you please describe what specific analysis lead to different results after re-running it with a specified seed? Cheers, Frantisek
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Hi Nicola, sorry for the late reply. Yes, JASP allows fitting repeated measures models within the mixed model interface. The analysis tries to automatically fit the maximum random effects structure that's justified by the data. However, the warnings…
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Hi daftjasp, the analysis uses sum contrast coding for categorical (nominal / factors, ordinal) predictors (in contrast to R which uses dummy encoding by default). We have also written a more detailed reply to a similar question, where we explain ho…
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Hi jcosta, a short answer is that the analysis uses sum contrast coding for categorical (nominal / factors, ordinal) predictors (in contrast to R which uses dummy encoding by default). We have also writen a more detail reply that hopefuly explains h…
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Hi Whirly123, I will try to answer the 1st question. As of now, we are using the default rstanarm priors that are autoscaled according to the predictors and response (normal distributions) and that are designed to be weakly informative - in order to…
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Hi Katharina, happy to hear about your positive experience! The analysis uses sum contrast coding for categorical (nominal / factors, ordinal) predictors (in contrast to R which uses dummy encoding by default). This scheme is used for better interpr…
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Hi Santos, it depends on what is your question. For example, if you want to test for a difference between Won and Draw condition, you can set the corresponding rows to 1 and -1. The coding symbolizes taking the estimated marginal mean in the Won con…
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Hi Guillermo, I'm happy to hear that you are intersted in the new Mixed Models analysis. The plots support only factor variables. I suspect that you have only continuous predictors in your model - these are not shown in the variable box. You can fi…