Question from a novice.
I am looking at changes in wallaby activity (measured as scat count in fixed quadrats) over three consecutive years. An abbreviated version of my data looks something like this
Given my data has repeated measures and a non-normal distribution I have made a linear mixed-model using the lmer4 package in R.
I have year as a fixed effect and quadrat as a random effect:
wallaby.model = lmer(scatcount ~ year +(1|quadrat), data=wallaby)
I am unsure of how to then test for significant/get a p-value to report changes over each of the three years. As I only have 1 random effect a Likelihood Ratio Test doesn't make sense to me as the null model and the model appear to be exactly the same.
Any suggestions for another test?
Thanks for your help!