Hello,
I'm running GOF tests in U=CARE for a juvenile survival and movement analysis in MARK on seabirds.
Summed results are significant (χ2 = 500.04, df = 217, p=0.000). Individual tests show significance for:
WBWA (x2 = 154.62, df = 26, p = 0.000)
3G.Sm (x2 = 231.97, df = 115, p = 0.000)
M.ITEC (x2 = 58.97, df = 23, p = 0.000)
but not for:
3G.SR (x2 = 14.985, df = 21, p = 0.82)
M.LTEC (x2 = 39.48, df = 32, p = 0.17)
So, I need to account for memory (still researching how to do this) and trap-dependence (through an individual covariate) in the MARK models. However, I'm struggling with the interpretation of a significant 3G.Sm test in the presence of a non-signficant 3G.SR test. I know from the U-CARE manual that 3G.SR tests for the presence of transients, but I am having some trouble with interpretation of what 3G.Sm is actually testing for, and thus, how to account for it in the models.
Any insight would be greatly appreciated.
Thanks,
Erin