I'm running this in R. I have a dataset with some nested data. I have two land ownership categories and five road types nested within these landownerships. I will include a flow chart of my IVs so they can be understood better. My sample size is not massive, n = 202. However, there are repeated measures within my samples, also there are only one transect each for the private land road types. Thus, I believe I need to run a mixed-effects model. This is where I get lost, if there is nesting, how can I account for this within my model, and which IV should be random (ownership or road type)? I'm thinking that ownership should be fixed and road type should be random or should transect be random? However, when I run the model with transect as a random effect is has a variance of 0 and a SD of 0. Of course, I have other variables too but these are all fixed. Can I get some help guys?