Hello, I want to compare two
GLMs (binomial dependent variable)
, the results are:

> m1<-glm(symptoms ~ 1, data=data2)
> m2<-glm(symptoms ~ phq_index, data=data2

> anova (m1, m2)

>           no
AIC     logLik   LR.stat df  Pr(>Chisq)
> m
1
     1

4473.9 -2236.0
> m2      9

4187.3 -2084.7  302.62  8   < 2.2e-16 ***

I am used to comparing these kind of models using chi-square values, a
chi-square difference, and a chi-square difference test. Since all other
models in the paper are compared this way, and since I'd like to report
them in a table together: why exactly is this model test different from my
other models tests in which I get chi-square values and difference tests?
And can I obtain chi-square values from this test?

Thank you!
 Eiko

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