I can't understand my data

Question

I need to calculate the prevalence of a group of ectoparasites in birds, and test the hypotheses about the effects of host and parasite life-history parameters on the prevalence of these ectoparasites. I've been told to use GLMM, and I started using it on jmp, but I can't understand the output of the program. I believe the input data is wrong and I can't figure out why...
My response variable is presence vs absence (0/1), my random effect is the suborder of the ectoparasites (A/B), and my fixed effects are their diet (blood/feather), ecomorph (A, B, C, D), and dispersal (0/1/2).

For the samples that the parasite is absent, the fixed and random effects rows have an N/A.

I would like to understand if the model that I'm trying to build is correct.

Thanks!

Sorting_full_list.xlsx

maykku · Answer

Ok, thanks!

Both the dispersal and ecomorph were not significant, and the diet and suborder don't have a value, so this means that none of them are affecting the prevalence?

GLM_test.jrp

Mark_Bailey · Answer

So you do not need any random effects. You indicate the nesting by adding the top and bottom factors to the effects first. Then select the top factor in the column list and the bottom (nested) factor in the effects list, and click Nest.

Please reply with your result.

maykku · Answer

Yes, they are nested factors! Each suborder occurs in combination with different levels of variables.
Specifically, suborder A will feed only on blood, and suborder B will feed only on feathers. Then suborder A doesn't can't disperse or has an ecomorph, while suborder B can disperse or not and have a set of four different ecomorphs.