My data set consists of 277 sites with 2-8 spatial replicates. When I run the single-species model with spatial dependence using covariates, I get a c-hat of 0. The number of bootstraps I used for model assessment was 10000. The Probability of test statistic >= observed is 0.9 for all the spatial dependence models where I have used co-variates. From what I understand, this indicates that none of the covariates used explains my data well which is surprising as all the covariates have been chosen based on the biology of the species.
When I run the models without the spatial dependence, I get a c-hat closer to 1 (for teh global model I get a c-hat = 1.13 and p = 0.17).
Can someone tell me under what circumstances c-hat becomes 0?
In the book - Program Mark - a gentle introduction (chpt5 pg6), it is recommended that if c-hat < 1, then set c-hat = 1. Does this recommendation hold good when c-hat=0? or are there any alternatives ?
Thanks in advance
Sunita