I am doing linear mixed models using lme4 and this is the results of model comparison:
> anova(lmer5,lmer6,lmer32) Df AIC BIC logLik Chisq Chi Df Pr(>Chisq) lmer32 9 43172 43226 -21577 lmer6 21 43190 43315 -21574 6.3081 12 0.8998 lmer5 26 43162 43317 -21555 37.9971 5 3.778e-07 ***
As you can see, the results show that one model is significantly better than the others and normally I will choose model with smallest logLik. However in this result, the logLik is negative. Do you think it is a good idea to choose model from logLik in this case, or should I choose it from AIC or BIC instead.
As no conclusion whether AIC is better than BIC, I am confused which one I should choose. What do you think?