matrixpls (version 0.6.0)

signAmbiquityCorrection: Sign ambiquity corrections

Description

Sign ambiquity corrections adjust the signs of the weights to satisfy a criterion.

Usage

weightSign.Wold1985(W, S)
weightSign.dominantIndicator(W, S)

Arguments

W

Weight matrix, where the indicators are on colums and composites are on the rows.

S

Covariance matrix of the data.

Value

• W after sign correction.

Functions

• weightSign.Wold1985: Adjust the signs of W so that the majority of the indicators are positively correlated with the composite as proposed by Wold (1985).
• weightSign.dominantIndicator: Adjust the signs of W so that the first indicator of each composite has positive weight.

Details

Instead of fixing a weight to a particular value, composite variables are typically provided a scale by standardization. This leads to sign indeterminacy because standardized weights W and -W both satisfy the scalign constraint. The sing ambiquity corrections add additional constraints that make

The sign indeterminacy corrections should not be confused with sign chance corrections applied to boostrap samples (See signChangeCorrection).

References

Wold, H. (1985). Partial Least Squares. In S. Kotz & N. L. Johnson (Eds.), Encyclopedia of statistical sciences (Vol. 6, pp. 581–591). New York: Wiley.

See Also

matrixpls;