asudar <aruna.sudarshan <at> gmail.com> writes: > > I am trying to run a linear mixed effects model similar to the 2*2*2 anova > design. My DV is reaction time and fixed factors are time (pre vs. > post:within-subject), condition (congruent vs. incongruent: within subject) > and stimulation (vertex vs. DLPFC: between subject) > My concerns are: > a)I have very few participants: 7 in the vertex condition and 7 in the > DLPFC condition. > b)2 out of the 7 participants participated in both vertex and DLPFC > condition. > How do I compute a nested lmer model with reaction time as DV and time, > condition and stimulation as factors? and how do i account for random > intercepts and slopes with few number of participants? > Thanks for all the help
You'll probably get more useful answers to this question on the r-sig-mixed-mod...@r-project.org mailing list. 7 participants is small but doesn't seem horribly small (but it might preclude estimating a full random-slopes model). You'll get more information on r-sig-mixed-models ... ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
