This may be a rudimentary question, but I've been asked to analyze some data (estimate detection probability) that spans several years (multiple visits per year) of surveying only a single site. I tried running a set of models with covariates for p that used only one site and it seemed to work, although I noticed that many of the models received identical support (i.e. the AIC was exactly the same for several models of different structure). Is this data structure going to cause problems/violate assumptions/limit the application of the output? I'd love to know about any pitfalls or prophylactic remedies that I could apply before I do the full analysis.
Thoughts?
-Andrew Durso
Graduate Student, Biological Sciences
Eastern Illinois University
amdurso@gmail.com