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Example 4
Viewing the Text Output
Here are the maximum likelihood estimates:
Amos does not display the path performance <— error because its value is fixed at the
default value of 1. You may wonder how much the other estimates would be affected
if a different constant had been chosen. It turns out that only the variance estimate for
error is affected by such a change.
The following table shows the variance estimate that results from various choices for
the performance <— error regression weight.
Suppose you fixed the path coefficient at 2 instead of 1. Then the variance estimate
would be divided by a factor of 4. You can extrapolate the rule that multiplying the path
coefficient by a fixed factor goes along with dividing the error variance by the square
Fixed regression weight Estimated variance of error
0.5 0.050
0.707 0.025
1.0 0.0125
1.414 0.00625
2.0 0.00313