Download Amos 17.0 user's guide by James L. Arbuckle. PDF

By James L. Arbuckle.

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Performing the Analysis E From the menus, choose Analyze → Calculate Estimates. E In the Save As dialog box, enter a name for the file and click Save. Amos calculates the model estimates. Viewing Text Output E From the menus, choose View → Text Output. E To view the parameter estimates, click Estimates in the tree diagram in the upper left pane of the Amos Output window.

16, that is, if the assumptions in the section “Distribution Assumptions for Amos Models” on p. 35 are met. 27 . Later, you will see that you can use Amos to estimate many kinds of population parameters besides covariances and can follow the same procedure to set a confidence interval on any one of them. R. 16 ) . This ratio is relevant to the null hypothesis that, in the population from which Attig’s 40 subjects came, the covariance between recall1 and recall2 is 0. If this hypothesis is true, and still under the assumptions in the section “Distribution Assumptions for Amos Models” on p.

E Click recall2 and label its variance as v_recall. E Use the same method to label the place1 and place2 variances as v_place. It doesn’t matter what label you use. The important thing is to enter the same label for each variance you want to force to be equal. The effect of using the same label is to 44 Example 2 require both of the variances to have the same value without specifying ahead of time what that value is. Benefits of Specifying Equal Parameters Before adding any further constraints on the model parameters, let’s examine why we might want to specify that two parameters, like the variances of recall1 and recall2 or place1 and place2, are equal.

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