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Bootstrapping
EClick the Bootstrap tab.
ESelect Perform bootstrap.
EType 500 in the Number of bootstrap samples text box.
Monitoring the Progress of the Bootstrap
You can monitor the progress of the bootstrap algorithm by watching the Computation
summary panel at the left of the path diagram.
Results of the Analysis
The model fit is, of course, the same as in Example 8.
The parameter estimates are also the same as in Example 8. However, we would now
like to look at the standard error estimates based on the maximum likelihood theory,
so that we can compare them to standard errors obtained from the bootstrap. Here, then,
are the maximum likelihood estimates of parameters and their standard errors:
Chi-square = 7.853
Degrees of freedom = 8
Probability level = 0.448