MikJ
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Hi, thanks for the comment. Apparently the Bayesian RM ANOVA does the listwise deletion of missing values. An alternative to this would be to do a Bayesian Linear Mixed Model, but with that analysis you don't get a Bayes Factor. So, I cannot see a …
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Hi, thanks for the comment. Apparently the Bayesian RM ANOVA does the listwise deletion of missing values. An alternative to this would be to do a Bayesian Linear Mixed Model, but with that analysis you don't get a Bayes Factor. So, I cannot see a …
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Hi patc3, Thanks for your comment. Here how the data looks like https://forum.cogsci.nl/uploads/276/PZLWBB8YUF7Z.png And here some descriptives. Sorry I do not use JASP to do my analyses so I'm not sure how to plot them for both variables https://fo…
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Hi, thanks for the comment. Apparently the Bayesian RM ANOVA does the listwise deletion of missing values. An alternative to this would be to do a Bayesian Linear Mixed Model, but with that analysis you don't get a Bayes Factor. So, I can't see a c…
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Hi E.J. and Frederik, Thanks for your replies. The default priors are fine with me, I'd only need this info to report it together with the ANOVA results. Following the thread in the link, I'd assume the scale for the ANOVA is (-sqrt(2)/2, sqrt(2)/2)…
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Hi Frederik & E.J., One last question. Regarding the Cauchy prior distribution, I'm not sure whether the default setting for the RMAnova is specified as a multivariate Cauchy distribution with r = 1/2. Is this correct? I've seen that a paired t-…
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Hi Frederik, Thank you very much for the clarifications and the link to the preprint. I assume then that, for increasing number of factors (as in this case): We need to go through the Bayesian Model Averaging and explore the Analysis of effects tabl…
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Hi E.J., Thanks a lot for your reply. I have now put the "best model on top" (see below) and have computed the "Analysis of effects" across matched models". Here the output: https://forum.cogsci.nl/uploads/780/94Z0DBTSVOPC.p…