Hi,
I have a dataset of bird mist netting. 31 Occasions (years). I grouped individuals according to sex.
Birds get colour marked and there are lot of transients in the dataset. Also the best models are exclusively TSM models among all species (it's a intra-specific analysis). Small Passerine species are the subject.
When I run RELEASE and look at the cumulative results of Test 3.SR for both groups it seems that females often have (highly) insignificant results while test results for males are (highly) significant (alpha 0,05). Or the other way around...)
I would have suggested that the test results for both sexes should be at least somewhat close to each other but for some species they are much different (in terms of p-value).
Is there an obvious explanation for this situation? I thought it may be due to differences in encounter probability or 'catchability' for both sexes and therefore smaller datasets or something like this...
I appreciate any suggestions on that if this is possible with the scarce information I gave on the dataset.
Thanks a lot and kind regards
Hannes