ave: Average Variance Extracted indices for matrixpls results

In matrixpls: Matrix-Based Partial Least Squares Estimation

Description

The matrixpls method for the generic function ave computes Average Variance Extracted indices for the model using the formula presented by Fornell and Larcker (1981).

Usage

ave(object, ...)

Arguments

object	matrixpls estimation result object produced by the matrixpls function.
...	All other arguments are ignored.

Value

A list containing the Average Variance Extracted indices in the first position and the differences between aves and largest squared correlations with other composites in the second position.

References

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39–50.

See Also

Other post-estimation functions: cei(), cr(), effects.matrixpls(), fitSummary(), fitted.matrixpls(), gof(), htmt(), loadings(), predict.matrixpls(), r2(), residuals.matrixpls()

matrixpls documentation built on April 28, 2021, 5:07 p.m.