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Example 21
About the Data
The Holzinger-Swineford (1939) data from Example 20 (in the file Grant.sav) are used
in the present example.
About the Model
The present example estimates the parameters of Model 2R from Example 20 by four
alternative methods: Asymptotically distribution-free (ADF), maximum likelihood
(ML), generalized least squares (GLS), and unweighted least squares (ULS). To
compare the four estimation methods, you need to run Amos four times.
To specify the estimation method and bootstrap parameters:
E From the menus, choose View > Analysis Properties.
E In the Analysis Properties dialog box, click the Random # tab.
E Enter a Seed for random numbers.
As we discussed in Example 20, it does not matter what seed value you choose, but in
order to draw the exact same set of samples in each of several Amos sessions, the same
seed number must be given each time. In this example, we use a seed of 3.
E Next, click the Estimation tab.
E Select the Asymptotically distribution-free discrepancy.
This discrepancy specifies that ADF estimation should be used to fit the model to each
bootstrap sample.