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Overdispersion is when there is greater variability than there 'ought' to be in the data. Eg, the variance of counts is often greater than the mean, whereas the variance of a Poisson should equal the mean.

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How to use quasi-Poisson model after overdisperson with glmer(mydata,family = poisson(link =...

m1 = glmer(y ~ x + SIDI + z.fac + (1|SITE) + (1|DATE), family = poisson(link = 'log'), data=dat) But when I use an overdispersion.test, it indicates overdispersion with p-value …
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