Apologies if I'm making any silly errors, I'm pretty new to R. I have been searching for the answer to my question, but haven't got very far!
I need to report standardized coefficients for the predictors in my model. I think I have figured out how to do this for my model of response time, by scaling all variables (type and speed are categorical variables with two levels coded with 1 and -1).
e.g.
RT.lmer = lmer(scale(RT) ~ scale(type) + scale(speed) + (1|subject) + (1|word), RTdata)
and then asking for the coefficients:
fixef(RT.lmer)
However, I can't figure out how to do this for my accuracy model. This is the regular model:
ACC.lmer = lmer(Acc ~ type + speed + (1|subject) + (1|word), fulldata, family=binomial)
It won't allow me to use scale on the accuracy scores. If I just scale the predictors, this does not give me the correct coefficients because I am getting values greater than 1.
Thanks in advance for your help!
Laura