Repeated Measures ANOVA with missing values
Hi,
I have seen in this post (https://forum.cogsci.nl/discussion/6962/repeated-measures-anova-missing-data) that missing values are apparentely not a problem when running a RM Bayesian ANOVA. However, looking to my ANOVA output I am not quite sure that's the case:
So, the descriptives are being calculated for 4 participants (e.g., those with data in all conditions) when the total number of participants is 20. I am wondering whether the RM ANOVA is also being calculated for those 4 participants only, which is not what I want.
Any advice would be very much appreciated!
Mikel
Comments
I can't remember the exact thread, but I was told that in JASP "repeated-measures" Bayesian ANOVA is not really repeated-measures ANOVA but is instead a linear mixed-effects model--EXCEPT that it excludes rows containing missing values, the way RM-measures ANOVA would.
R
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 clear solution to this problem at the moment.
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 clear solution to this problem.
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 clear solution to this problem.