Hi I would like to clarify if it's possible to have no significant effects on the glmm model although when you plot the count data it looks like there is a significant difference?
I fitted a GLMM on the following: glmer(Rat.returns~Treatment+(1|Site), data=df, family="binomial")
- Treatment (control vs road)
- rat.returns-> was a binary (0=not returned, 1= returned) and the results show no significant effect on treatment on rat returns.
To present my data, I used the means instead but it looks like there is a significant difference. Is it because taking into account the random effects would affect the response variable?