cr: Composite Reliability indices for matrixpls results

In matrixpls: Matrix-Based Partial Least Squares Estimation

Description

The matrixpls method for the generic function cr computes Composite Reliability indices for the model using the formula presented by Fornell and Larcker (1981).

Usage

cr(object, ...)

Arguments

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

Value

A named numeric vector containing the Composite Reliability indices.

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.

Aguirre-Urreta, M. I., Marakas, G. M., & Ellis, M. E. (2013). Measurement of composite reliability in research using partial least squares: Some issues and an alternative approach. The DATA BASE for Advances in Information Systems, 44(4), 11–43. doi: 10.1145/2544415.2544417DOI:10.1145/2544415.2544417

See Also

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

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