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Bayesian Estimation
This is the resulting path diagram (you can also find it in Ex26.amw):
Results of Maximum Likelihood Analysis
Before performing a Bayesian analysis of this model, we perform a maximum
likelihood analysis for comparison purposes.
E From the menus, choose Analyze > Calculate Estimates to display the following
parameter estimates and standard errors:
Covariances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
age <--> vocabulary –5.014 8.560 –0.586 0.558
Variances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
age 21.574 4.886 4.416 ***
vocabulary 131.294 29.732 4.416 ***