EJ
About
- Username
- EJ
- Joined
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- Member, Administrator, Moderator
- Thanked
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Comments
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Hi Cristony, I suspect that our network experts may require some more information in order to help you out. The best place to get their help is our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). Che…
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Hi Gabriel We are working to code up all our analyses in an R package, but it's not ready for prime time just yet. Let me attend some of the team members to your question and see what we can do. Cheers, E.J.
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There is some relevant thesis work by Rivka de Vries (Richard's former PhD student), see https://www.rug.nl/research/portal/files/15849947/Title_and_contents_.pdf Cheers, E.J.
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Hi Niklas, The results are based on a numerical procedure, so some variability is inevitable; To understand the impact of your covariate you could do some exploratory analyses; The model-averaged posterior is a weighted combination of the posterior …
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Strange indeed. The results should be identical. Perhaps check to see that the descriptives match up just to make sure that the two software programs are looking at the same data? E.J.
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This is really something for the GitHub page, but it's important so I'll post it there. Thanks! (my guess: for the ANOVA, it may save the samples, at least if it's a Bayesian ANOVA...) E.J.
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Dear BridgetUT, This issue is best posted on our GitHub page, where the programming team can have a look. (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). Cheers, E.J.
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Hi ChristianK, This is a good topic for our GitHub page, where you can get into contact with our programming team. (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). Cheers, E.J.
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Hi jjoe, This is a good topic for our GitHub page, where you can get into contact with our programming team. (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). Cheers, E.J.
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Also, if you know you need the main effects (because you are interested in the interaction) you can go to the "Model" tab and add them to the null model. This will simplify the presentation of the results. Cheers, E.J.
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Dear BrittJane [sorry for the tardy reply -- I've responded elsewhere as well but I'll do this here too for completeness], The model with the highest R2 is *not* the model that predicts best: it is the model with the best fit. This is always the mod…
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Dear BrittJane, The model with the highest R2 is *not* the model that predicts best: it is the model with the best fit. This is always the model with all predictors included. So for model selection, R2 is not very informative. Predictive ability is …
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Dear JenL, Interesting question. You could argue either way I guess. Usually you would consider the two main effects model and judge whether you need the additional interaction term (this is your approach "B"). However, it appears as if th…
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Hi Mark, When you tick "Posterior Summary", you can select "Best model" -- this should then present the posterior summaries only for the model with 4 predictors. Cheers, E.J.
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Dear SClausen, Johnny van Doorn has developed several rank-based Bayesian methods, some of which have already been implemented in JASP. We'll implement the others as well, and then take a good look at ANOVA. Cheers, E.J.
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Hi Jan, Hmm this is a tricky one. I guess it depends on what model you are using for inference. Although I can't imagine that in practice the difference will be very large. Cheers, E.J.
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I think it's fine -- I am not a Bain expert so it is a little hard for me to grasp that table, but the standard JASP ANOVA seems fine. E.J.
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Yes, they operate under different assumptions, so will give different answers. In general, Bain is particularly well suited for testing order-restrictions. E.J.
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Dear rhlamber, Just to get this straight: What exactly do you mean with "BF of comparisons for groups interaction"? You mean "split" by, say, not only gender but also by favorite color, so that you get a matrix of plots? Regardle…
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I'll pass this comment along
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Ah, this one then: http://www.ejwagenmakers.com/2017/RouderEtAl2017ANOVAPM.pdf
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For raw BFs, the scale is asymmetrical: evidence for H0 (say) goes from 0 to 1, whereas evidence for H1 goes from 1 to infinity. So a BF of 1/200 is of the same strength as a BF of 200. If you take the log, evidence for H0 is -x, and the same streng…
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Dear tracys, We can help you out but our programming team will probably need some more information. In order to help you effectively please post the issue on our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-b…
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Dear Marius, We can help you out but our programming team will probably need some more information. In order to help you effectively please post the issue on our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-b…
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Dear Flaihai, Thanks for bringing this to our attention. We would love to fix this, but out programming team may need some additional information. Also, this is exactly the kind of issue that we like to see on our GitHub page -- that way, the entire…
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I'll pass this one on to Richard...
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Hi Major, I've passed this on to our network experts. They are currently on vacation, so the reply might take a little longer than usual. Cheers, E.J.
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Dear Luke19, Well, that is not supposed to happen :-) We check carefully, but sometimes there's an issue that we learn about only when users such as yourself bring this to our attention. We generally recommend a post to out GitHub page so that the e…
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Hi Jihene83500, JASP handles this internally and automatically, no need to do any calculation yourself! Cheers, E.J.