EJ
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- EJ
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Comments
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Hi fweber144, That's awesome! In the future we'd definitely like to offer something like this in JASP, but it may take us a while. Cheers, E.J.
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Strange. I asked the team about this (maybe it was you, on the mail) and they were unsure what happened. I'll forward this post to them (GitHub is easiest for trouble-shooting, but let's see -- the team will need some more information for sure) Chee…
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Dear Pat, I'll ask the team, but I am not aware of any limitations. Note that we also offer a preinstalled zip file for Windows -- unpacking the zip and clicking on JASP.exe should launch the program. Your student can also contact us for support on …
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Hi JDB, Asking the same question on different fora is a good idea! I have never really looked into the interpretation of eta-squared. I know that some people like to convert all effect sizes to r; if that's legit and possible for eta-squared, it cou…
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Hi ABC_95, The top entry is always 1, since the model on the first row is compared to itself. So the model with only "difficulty" is best, predicting the data 6.67 times better than the model that adds image type, and predicting the data a…
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Hi ABC_95, If you select "compare to best model" and tick "BF01" then you'll immediately see how much better the best model predicts compare to its competitors. The comparison to the null is often not so interesting, because it p…
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Dear profkeji, Thanks. I think this is more of a feature request; it is easiest to add these using 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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I'll ask our expert! E.J.
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Hi Vukasin, Great question. Anything will work, just as long as the prior distribution still makes sense. For instance, on our JASP post about this (https://jasp-stats.org/2020/05/12/how-to-conduct-a-bayesian-model-averaged-meta-analysis-in-jasp/) w…
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Hi Shiro, Yes, the null model receives most support. There is some evidence against adding the predictors Urea and Calcium, but the degree of that support is not compelling, especially for Urea. If you want to add the interaction as a predictor, you…
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Hi JDeBeer, You've also corresponded about this issue on our GitHub page, right? In general, I'd say that it is always a good idea to plot the data -- perhaps even the raw data, and/or means with CIs. Cheers, E.J.
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Well if you throw away condition C then everything is fine E.J.
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I'll send someone from the team your way... E.J.
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Yes, this is available in JASP. It uses an R package by Overstall, called "conting". Cheers, E.J.
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Yeah so the height of the vertical bar refers to the model in which the coefficient is zero; the density of the solid line is under H1, the model in which the coefficient is not zero. Because it is a density, the height at any one point does not ref…
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Hi Alexa, There are several perspectives here. First, comparing the model with predictor 3 against the model with predictor 2+3, it is evident that adding predictor 2 makes the model worse. The inclusion BFs support the predictors only weakly. This …
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We are working on Bayesian assumption tests (for now, I guess the frequentist ones will have to do). For Levene's test, we do have a paper, but it's not implemented in JASP yet: https://www.bayesianspectacles.org/preprint-default-bayes-factors-for-t…
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Dear August Yes I think that makes sense. I am not aware of any other arguments that have been put forward. You can of course also approach this pragmatically and view it as a form of robustness test: if the two analyses given very different answers…
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Hi Shiro, To answer your question it would help to see a screenshot of the output. Also, there is this preprint that may help you: https://psyarxiv.com/pqju6/ Cheers, E.J.
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Let me look into that...
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van den Bergh, D., Clyde, M. A., Raj, A., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., and Wagenmakers, E.-J. (2020). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Manuscript submitted for publication. https://psyarxiv…
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Thanks for the link!
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Dear Nadav, Right now the graphs cannot be edited. Allowing that is one of our top priorities. Cheers, E.J.
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Thanks!
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Hi Eliza, I would refer you to these papers: Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (2020). Informed Bayesian t-tests. The American Statistician, 74, 137-143. https://www.tandfonline.com/doi/full/10.1080/00031305.2018.1562983 Ly, A., Etz, A…
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Thanks! I'll add this to our GitHub page. For future reference, here's how to do that yourself: https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ E.J.
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A few quick remarks: 1. "Specifically, the observed data were approximately 2.2 times more likely under the model where thresholds were predicted by the interaction between group and condition, compared to the model where these were predicted b…
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Yes. Under the "model" tab, select the variables for which you'd like to see an interaction in "Components", and drag them at the same time to the "Model Terms" box. Dragging them at the same time will add the interacti…
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Hi Pajafumo, Thanks for your post. This is really an issue for our software development team. You can reach all of them through our GitHub page, for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/. Posting the issue on…
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Dear Yorgos, The Bayesian hypothesis test for the equality of two correlations is still under development. Cheers, E.J.