Controls whether regression weights for predicting the unobserved variables from the observed variables are displayed. The regression weights are computed by the formula where
W is the matrix of regression weights
S is the matrix of covariances among the observed variables
B is the matrix of covariances between the unobserved and observed variables.
Syntax
object.FactorScoreWeights ()
object.FactorScoreWeights (tf)
The FactorScoreWeights method syntax has the following parts:
Part |
Description |
object |
An object of type AmosEngine. |
tf |
Optional. If tf is True (the default), regression weights are reported. Otherwise, not. |
Placement: [1].
Default
Factor score weights are not reported.
Remarks
This method is called "FactorScoreWeights" in conformance with usage in common factor analysis, where scores on the unobserved variables are called 'factor scores'. The use of FactorScoreWeights is not limited to common factor analysis models, however.
See Also