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
asked Nov 5 at 17:21
Aekyung
63
add a comment |
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
asked Nov 5 at 17:21
Aekyung
63
add a comment |
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
asked Nov 5 at 17:21
Aekyung
63
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
asked Nov 5 at 17:21
Aekyung
63
asked Nov 5 at 17:21
Aekyung
63
edited Nov 11 at 0:18
asked Nov 5 at 17:21
Aekyung
63
asked Nov 5 at 17:21
Aekyung
63
asked Nov 5 at 17:21
Aekyung
63
63
add a comment |
add a comment |
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