Vinny,

You have to be very careful when interpreting those path coefficients. First of all, they are not correlation coefficients. Suppose we have a network with a path connecting from region A to region B. The meaning of the path coefficient theta (e.g., 0.81) is this: if region A increases by one standard deviation from its mean, region B would be expected to increase by 0.81 its own standard deviations from its own mean while holding all other relevant regional connections constant. With a path coefficient of -0.16, when region A increases by one standard deviation from its mean, region B would be expected to decrease by 0.16 its own standard deviations from its own mean while holding all other relevant regional connections constant.

So theoretically speaking the range of the path coefficients can be anything, but most of the time they are from -1 to 1. To save running time, the default values for -limits are set with -1 and 1, but if the result hits the boundary, increase them and re-run the analysis.

Gang