ANOVA result is inconsistent (AIC VS deviance)











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I am working on GLM models (using glmer). Now I am exploring whether I need an interaction term. I'd like to find the best model, but the following result is confusing: 



Models:

g1: y ~ year + (1 | BZR/PLR)

g2: y ~ year + year * BZR + (1 | BZR/PLR)

   Df  AIC   BIC  logLik  deviance Chisq Chi Df Pr(>Chisq)    

g1 11 16580 16664 -8279.2  16558                             

g2 90 16612 17296 -8215.8  16432  126.87     79 0.0005135 ***


AIC is better in g1 while g2 shows better logLiK and deviance. Which model do I have to select?



Thank you very much for all the comments in advance!!



Best,
Aekyung






model comparison anova multilevel-analysis







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    up vote
    1
    down vote

    favorite












    I am working on GLM models (using glmer). Now I am exploring whether I need an interaction term. I'd like to find the best model, but the following result is confusing: 



    Models:
    
g1: y ~ year + (1 | BZR/PLR)
    
g2: y ~ year + year * BZR + (1 | BZR/PLR)
    
   Df  AIC   BIC  logLik  deviance Chisq Chi Df Pr(>Chisq)    
    
g1 11 16580 16664 -8279.2  16558                             
    
g2 90 16612 17296 -8215.8  16432  126.87     79 0.0005135 ***


    AIC is better in g1 while g2 shows better logLiK and deviance. Which model do I have to select?



    Thank you very much for all the comments in advance!!



    Best,
    Aekyung






    model comparison anova multilevel-analysis







    share|improve this question


























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I am working on GLM models (using glmer). Now I am exploring whether I need an interaction term. I'd like to find the best model, but the following result is confusing: 



      Models:
      
g1: y ~ year + (1 | BZR/PLR)
      
g2: y ~ year + year * BZR + (1 | BZR/PLR)
      
   Df  AIC   BIC  logLik  deviance Chisq Chi Df Pr(>Chisq)    
      
g1 11 16580 16664 -8279.2  16558                             
      
g2 90 16612 17296 -8215.8  16432  126.87     79 0.0005135 ***


      AIC is better in g1 while g2 shows better logLiK and deviance. Which model do I have to select?



      Thank you very much for all the comments in advance!!



      Best,
      Aekyung






      model comparison anova multilevel-analysis







      share|improve this question















      I am working on GLM models (using glmer). Now I am exploring whether I need an interaction term. I'd like to find the best model, but the following result is confusing: 



      Models:
      
g1: y ~ year + (1 | BZR/PLR)
      
g2: y ~ year + year * BZR + (1 | BZR/PLR)
      
   Df  AIC   BIC  logLik  deviance Chisq Chi Df Pr(>Chisq)    
      
g1 11 16580 16664 -8279.2  16558                             
      
g2 90 16612 17296 -8215.8  16432  126.87     79 0.0005135 ***


      AIC is better in g1 while g2 shows better logLiK and deviance. Which model do I have to select?



      Thank you very much for all the comments in advance!!



      Best,
      Aekyung






      model comparison anova multilevel-analysis




      model comparison anova multilevel-analysis






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      edited Nov 11 at 0:18

























      asked Nov 5 at 17:21









      Aekyung

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