Controls whether Amos attempts to obtain maximum likelihood estimates when a sample covariance matrix is not positive definite.
Syntax
object.NonPositive ()
object.NonPositive (tf)
The NonPositive method syntax has the following parts:
Part |
Description |
object |
An object of type AmosEngine. |
tf |
Optional. If tf is True (default), Amos attempts to obtain maximum likelihood estimates even when a sample covariance matrix is not positive definite. |
Placement: [1].
Default
Amos reports an error if you attempt a maximum likelihood analysis when a sample covariance matrix fails to be positive definite.
Remarks
When you use the NonPositive method, Amos does not try to test the hypothesis that your model is correct against the usual alternative that the population moments are unconstrained.
Wothke (1993) discusses the problem of covariance matrices that are not positive definite.
See Also