Abstract
The consistent PLSSEM (PLScSEM) algorithm performs a correction of reflective constructs' correlations to make results consistent with a factormodel.
Description
The consistent PLSSEM (PLScSEM) algorithm performs a correction of reflective constructs' correlations to make results consistent with a factormodel (Dijkstra 2010; Dijkstra 2014; Dijkstra and Henseler 2015; Dijkstra and SchermellehEngel 2014). In principle, the correction builds on Nunnally’s (1978) wellknown correction for attenuation formula.
PLSc Settings in SmartPLS
Initial Calculations: One can decide whether the initial PLS path model should be taken as it is or if all LVs should be connected to generate latent variable scores when running the PLSSEM algorithm. Dijkstra and Henseler (2012) advise to use connections between all LVs for the estimation of the latent variables scores to get more stable results.
Until now, no additional parameter specifications are required for the correction that PLScSEM performs on the results of the basic PLSSEM algorithm. However, parameter settings for the underlying PLSSEM algorithm are important and should be checked.
References

Dijkstra, T. K. (2010). Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares, in Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics Series, vol. II), V. Esposito Vinzi, W. W. Chin, J. Henseler and H. Wang (eds.), Springer: Heidelberg, Dordrecht, London, New York, pp. 2346.

Dijkstra, T. K. (2014). PLS' Janus Face – Response to Professor Rigdon's ‘Rethinking Partial Least Squares Modeling: In Praise of Simple Methods’, Long Range Planning, 47(3): 146153.

Dijkstra, T. K., and Henseler, J. (2015). Consistent Partial Least Squares Path Modeling, MIS Quarterly, 39(2): 297316.

Dijkstra, T. K., and SchermellehEngel, K. (2014). Consistent Partial Least Squares for Nonlinear Structural Equation Models, Psychometrika, 79(4): 585604.

Nunnally, J. C. (1978). Psychometric Theory, McGraw Hill: New York.
Please always cite the use of SmartPLS!
Ringle, Christian M., Wende, Sven, & Becker, JanMichael. (2022). SmartPLS 4. Boenningstedt: SmartPLS. Retrieved from https://www.smartpls.com