IBM® SPSS® Amos™ 28

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Navigation: Programming with Amos > Class Reference > AmosEngine Class Reference > AmosEngine Class Members > Methods > Mods Method

Discussion of Example

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The example (which is the same as Model A in Example 6 of the User's Guide) yields the following modification indices.

Covariances: (Group number 1 - Default model)

			M.I.	Par Change
eps2	<-->	delta1	5.905	-.424
eps2	<-->	eps4	26.545	.825
eps2	<-->	eps3	32.071	-.988
eps1	<-->	delta1	4.609	.421
eps1	<-->	eps4	35.367	-1.069
eps1	<-->	eps3	40.911	1.253

Variances: (Group number 1 - Default model)

M.I.

Par Change

Regression Weights: (Group number 1 - Default model)

			M.I.	Par Change
powles71	<---	powles67	5.457	.057
powles71	<---	anomia67	9.006	-.065
anomia71	<---	powles67	6.775	-.069
anomia71	<---	anomia67	10.352	.076
powles67	<---	powles71	5.612	.054
powles67	<---	anomia71	7.278	-.054
anomia67	<---	powles71	7.706	-.070
anomia67	<---	anomia71	9.065	.068

The largest modification index is 40.911, indicating that the chi-square statistic will drop by at least 40.911 if the covariance between eps1 and eps3 is allowed to depart from zero (the value at which it is fixed in Model A). The number 1.254 in the Par Change column indicates that the covariance will increase by about 1.254 if it is free to take on any value. Of course if the covariance (now zero) increases by 1.254 it will then be equal to 1.254. Actually, in Model B of Example 6, where the covariance between eps1 and eps3 is unconstrained, its estimate is 1.888. Kaplan (1989) and Saris, Satorra and Sörbom (1987) discuss the use of estimated parameter changes in exploratory analyses.

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IBM® SPSS® Amos™ 28