František
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Hi Andrew, The contrast coding can be indeed a bit confusing. We added a more detailed explanation to the help file that summarizes what are the differences and reasons for using the sum contrasts (where the fixed effects are not readily interpretab…
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Hi Jonathan, The prior distributions are weakly informative and should be well-behaved in parameter estimation settings. The module uses the default prior distribution settings of the rstanarm R package which defines normal(location = 0, scale = 2.5…
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This seems to be an issue with the maximum length of R formula -- it cannot be longer than 500 characters. In such a case, I would recommend shortening variable names (e.g., Emotion -> Em, Stimulus orientation -> StOr, etc.). In case that does…
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We resolved this via email with the help of Thomas Debray. I'm attaching the response if other people have a similar question: The I2 statistics you report are OK, they usually represent the I2 of the logit transformed c-statistic (unless no transf…
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Hi Peter, Yes, EJ is indeed right. If you input the Bayesian posterior estimates, you are adding additional information to each study via each t-test's prior distribution. The `frequentist t-test's` Cohen's d is just a summary statistic used as an …
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Hi Fara, Yes, absolutely! (also Fisher's z is usually the best standardized effect size for performing meta-analyses) Cheers, Frantisek
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Hi Stan, Thanks for reaching out! Yes, you are correct about the issues with depend effect sizes. We currently do not have such procedures in JASP but we are working on adding them in the future. Best, Frantisek
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Hi Daiichiro, Yes, that's exactly the way how the contrasts are constructed. Regarding the plot, the visualized points are the raw data aggregated across the random effects specified in "Background data show" field, e.g., participants in …
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Hi Daiichiro, Thanks for reporting the issue. Regarding Q1, the fixed effects estimate summary table shows estimates for the sum coded contrasts -- those are usually not directly interpretable (in comparison to dummy coding) but present a better way…
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Hi, I'm sorry, I'm not really familiar with this type of multilevel model, but I fear that it is not possible in the current JASP implementation. Cheers, Frantisek
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Hi JP, You can definitely plot levels of one variable against the levels of the other variable -- the interaction then looks like a difference in the changes among the levels. Or do you have something else in mind? (And If you could upload an exampl…
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Hi KC, Yes, the Bayesian (Generalized) Mixed Models analysis uses the autoscaled priors from rstanarm (as the analysis provides estimation only and no Bayes factors). We should've described this better in the documentation -- we are planning to make…
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Hi Marijn, Yes, the Bayesian (Generalized) Mixed Models analysis is using the autoscaled priors from rstanarm (as the analysis provides estimation only and no Bayes factors). We should've described this better in the documentation -- we are planing …
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Hi Smiddy, We actually started drafting the paper in December, so we will hopefully have preprint out soon :) Cheers, Frantisek
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Hi Tom, We are currently preparing an article that will provide more guidance on operating the Mixed Effect module and we will definitely include a section about the contrasts settings. The latest release also includes a new example analysis, "…
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Yes, that's indeed the case. Frantisek
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Hi horotat, Estimating complex GLMMs can indeed be problem. Unfortuntelly, we did not implemented the optimizer control in the JASP interface yet (I just created a feature request: https://github.com/jasp-stats/jasp-issues/issues/1832 so we might ad…
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Hi ataylor, Could you please save and send me the analysis file which leads to the error (as .JASP)? I can take a look and check what is wrong. Cheers, František (f.bartos96@gmail.com)
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Hi Satoru, the JASP implementation of GUI does not currently offer interaction of random grouping factors right now subject:music . For now, you can sidestep this issue by creating a compound variable "subject_music" that just contains a …
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Dear dmalm, As EJ noted, a Bayesian MANOVA would be the most appropriate analysis given your description. Unfortunately, the Mixed Models module does not provide multivariate models (and I haven't seen them in any application outside of textbooks ye…
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Hi Daniel, Glad you like the interface. Yes, I create a feature request on the JASP GitHub page on your behalf: https://github.com/jasp-stats/jasp-issues/issues/1628. Cheers, Frantisek
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Dear omocestus, Thank you for the questions, 1) Unfortunately, you cannot test for normality or plot residuals in LMM in JASP. 2) Similarly for overdispersion, however, you can fit a negative binomial model with the Bayesian GLMM in JASP. Cheers, Fr…
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Thanks for sending the analysis file Daniel, (I'm attaching the reply here as well in case someone else gets into the same problems) One of your predictors, call it the X variable has relatively large values and they are apparently creating problem…
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Hi Daniel, that's what I would not expect to happen. Could you maybe save the analysis and share the .JASP file with me so I can have a closer look (f.bartos96@gmail.com)? Cheers, Frantisek
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Hi Daniel, You can start removing the individual random effects by deselecting the checkboxes within the "Random effects" specification under the "Model" tab in JASP. First, you should remove the highest order term interaction an…
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Hi, This message is a result of a failed convergence check of the likelihood optimizer and indicates that the optimizer might not have converged to the maximum likelihood estimate. In other words (and greatly simplified), the likelihood is usually a…
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Dear dontchaknowjo, I can't speak about the BayesFactor package, however, JASP currently does not support logistic regression in the Bayesian framework. Nevertheless, you can still fit a frequentist logistic regression in the Regression module. Chee…
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Hi Anna, thanks for letting me know. We should have access to the intel based Macs so we will take a look at it and see what we can do. Best, Frantisek
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Hi eniseg, thank you for testing this for us. It suggests that the issue is with the RoBMA R package itself (which is not great news for me since I'm responsible for it). I will see what I can do to make it working on the new M1 chips, but until the…