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...are the models. however, whenever i run the anova, the AIC, BIC and loglik are different from the original model output- as below. can someone help me out with why this is happening? (i'm hoping the output assocaited with the anova is right!). thank you, darren > unconditional<-lmer(log50 ~ 1 + (1 | Stream:Site) + (1|Stream), data) > summary(unconditional) Linear mixed-effects model fit by REML Formula: log50 ~ 1 + (1 | Stream:Site) + (1 | Stream) Data: data AIC BIC logLik MLdeviance REMLdeviance -138.8 -132.8 72.42 -150.4 -144.8 > nosection<-lmer...

...0 2001081712 2001081800 2001081812 2001081900 2001081912 ... ..$ logrho: num [1:14] 1.16 -0.50 -0.50 -0.50 -0.50 ... ..$ w2 : num [1:14] 1.01 1.27 1.18 1.23 1.17 ... ..$ rms : num [1:14] 5.00 1.40 1.26 1.36 1.25 ... ..$ maxi : num [1:14] 8.66 7.54 6.39 6.68 5.83 ... $ log50:'data.frame': 69 obs. of 5 variables: ..$ DATE : int [1:69] 2001081500 2001081512 2001081600 2001081612 2001081700 2001081712 2001081800 2001081812 2001081900 2001081912 ... ..$ logrho: num [1:69] 1.16 -1.50 -1.50 -1.50 -1.50 ... ..$ w2 : num [1:69] 1.01 1.27 1.25...