Abstract
In this response to Evermann and Rönkkö (2023), I acknowledge areas of agreement about applying partial least squares (PLS) path modeling but cite substantial disagreements. The authors encourage researchers to also consider generalized structured component analysis and regression component analysis as procedures built around weighted composites rather than common factors. We can best regard all of these methods as quasi-factor methods, which avoid the uncertainty of factor indeterminacy though they still rely on covariance structures similar to those in factor analysis. They remain useful tools for researchers.
DOI
10.17705/1CAIS.05230
Recommended Citation
Rigdon, E. E. (2023). Needed Developments in the Understanding of Quasi-Factor Methods. Communications of the Association for Information Systems, 52, 692-696. https://doi.org/10.17705/1CAIS.05230
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