by jhines » Mon Jul 06, 2009 11:56 am
The observer should be entered as 3 covariates:
<pre>
obs1=1, obs2=0, obs3=0 if observer 1,
obs1=0, obs2=1, obs3=0 if observer 2,
obs1=0, obs2=0, obs3=1 if observer 3.
</pre>
This is a categorical covariate where there is no relationship among the observers.
The disturbance variable could also be entered this way, giving a separate estimate for each category (none,low,med,hi):
<pre>
distNone=1, distLow=0,distMed=0,distHi=0 if disturbance=None,
distNone=0, distLow=1,distMed=0,distHi=0 if disturbance=Low,
distNone=0, distLow=0,distMed=1,distHi=0 if disturbance=Medium,
distNone=0, distLow=0,distMed=0,distHi=1 if disturbance=High
</pre>
Disturbance could also be entered as a 'continuous' covariate:
<pre>
dist=0 if disturbance=none,
dist=1 if disturbance=low,
dist=2 if disturbance=medium,
dist=3 if disturbance=hi
</pre>
This way would be preferable if you'd like to build a model where a parameter (occupancy,detection) is a linear (on logit scale) function of disturbance. For example, detection for no-disturbance sites > detection for low-disturbance sites > detection for med-disturbance sites > detection hi-disturbance sites. You could plot detection versus disturbance on the x-axis and would get an increasing or decreasing line connecting the estimates.
The categorical way would not impose the relationship (none>low>med>hi).
Jim