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2011 Mar 17
1
generalized mixed linear models, glmmPQL and GLMER give very different results that both do not fit the data well...
...R_j
I think it makes sense, but I'm not sure.
Here are the observed cell means:
conflict noconflict
control 0.6896552 0.9568966
high 0.6935484 0.9677419
low 0.8846154 0.9903846
GLMER gives me:
summary(glmer(accuracy~f_power*f_type + (1|subject), family=binomial,data=syllogisms))
Generalized linear mixed model fit by the Laplace approximation
Formula: accuracy ~ f_power * f_type + (1 | subject)
Data: syllogisms
AIC BIC logLik deviance
406 437.7 -196 392
Random effects:
Groups Name Variance Std.Dev....