Hi everyone, Apologies if this is a silly question but I am a student and this is my first time using R so I am still trying to educate myself on commands, models e.t.c
I have a mixed model with four dichotomous fixed factors and subject as a random factor (as each person completed four vignettes, with factors crossed across vignettes). I have run an lmer model and used the Monte Carlo method to see if there are any significant main effects or interactions. However, when I looked at the p values some are showing as significant although the F value is less than 1. Is it possible to have a significant effect with an F value below 1?. I have a sample size of 150 and have read that the pMCMC values can be anti-conservative so wonder if it is because my sample size may be too small?. Thank you for any help -- View this message in context: http://r.789695.n4.nabble.com/Using-MCMC-sampling-to-estimate-p-values-with-a-mixed-model-tp3606654p3606654.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
