Same input file and different results

[Mauro]

[*]Dears, I have a basic doubt about the input file. Considering the simulated encounter history of three encounters and two groups (males and females) with the same amount of individual in each history and sex as below:
/*Data Set A*/
111 1 1;
110 1 1;
101 1 1;
100 1 1;
or
/*Data Set B*/
111 1 0;
110 1 0;
101 1 0;
100 1 0;
111 0 1;
110 0 1;
101 0 1;
100 0 1;
Why these two data sets bring different results in the MARK when I use CJS and run the pre-defined models? These data aren't the same?
Results of all possible models considering Data Set A
Model AICc Delta AICc AICc Weights Num. Par
{Phi(.) p(.) PIM} 27.5140 0,0000 0,20635 2
{Phi(g) p(g) PIM} 27.5140 0,0000 0,20635 2
{Phi(t) p(.) PIM} 27.5140 0,0000 0,20635 2
{Phi(g*t) p(g) PIM} 27.5140 0,0000 0,20635 2
{Phi(.) p(g) PIM} 31.1807 3.6667 0,03299 3
{Phi(.) p(t) PIM} 31.1807 3.6667 0,03299 3
{Phi(g) p(.) PIM} 31.1807 3.6667 0,03299 3
{Phi(t) p(t) PIM} 31.1807 3.6667 0,03299 3
{Phi(g*t) p(.) PIM} 31.1807 3.6667 0,03299 3
{Phi(g) p(t) PIM} 35.8950 8.3810 0,00312 4
{Phi(t) p(g) PIM} 35.8950 8.3810 0,00312 4
{Phi(t) p(g*t) PIM} 35.8950 8.3810 0,00312 4
{Phi(.) p(g*t) PIM} 42.1807 14.6667 0,00013 5
{Phi(g*t) p(t) PIM} 42.1807 14.6667 0,00013 5
{Phi(g) p(g*t) PIM} 50.9807 23.4667 0,00000 6
{Phi(g*t) p(g*t) PIM} 50.9807 23.4667 0,00000 6

Results of all possible models considering Data Set B
Model AICc Delta AICc AICc Weights Num. Par
{Phi(.) p(.) PIM} 27.5140 0,0000 0,25894 2
{Phi(g) p(.) PIM} 27.5140 0,0000 0,25894 2
{Phi(t) p(g) PIM} 27.5140 0,0000 0,25894 2
{Phi(.) p(g) PIM} 31.1807 3.6667 0,04140 3
{Phi(.) p(t) PIM} 31.1807 3.6667 0,04140 3
{Phi(t) p(.) PIM} 31.1807 3.6667 0,04140 3
{Phi(t) p(t) PIM} 31.1807 3.6667 0,04140 3
{Phi(g*t) p(t) PIM} 31.1807 3.6667 0,04140 3
{Phi(g) p(g) PIM} 35.8950 8.3810 0,00392 4
{Phi(g) p(t) PIM} 35.8950 8.3810 0,00392 4
{Phi(g*t) p(.) PIM} 35.8950 8.3810 0,00392 4
{Phi(g*t) p(g*t) PIM} 35.8950 83810 0,00392 4
{Phi(.) p(g*t) PIM} 42.1807 14.6667 0,00017 5
{Phi(t) p(g*t) PIM} 42.1807 14.6667 0,00017 5
{Phi(g*t) p(g) PIM} 42.1807 14.6667 0,00017 5
{Phi(g) p(g*t) PIM} 50.9807 23.4667 0,00000 6

Thanks[/*]

[Tony G]

Mauro,

It appears that your dummy variables identifying the two groups differs between the two sets of data. The coding in Data set A is incorrect (Data set B is correct for 2 groups) - see Chapter 2. Also, you results look suspect for both data sets as there are lots of identical results for different models, so I suspect you haven't set your PIMS correctly - see Chapter 3 and 4.

Tony