Email this article Finite Iterative Method Based Algorithm To Estimate Latent Variables In Partial Least Squares Path Modelling For Mode A
Abstract
The present paper introduces a new algorithm in partial least squares path modelling to compute the scores of latent variables when Mode A is considered for all blocks. The proposed algorithm estimates the so-called weight vectors by minimizing the distance between two correlation matrices by considering each outer model as being a recursive path analysis model. Numerical studies and empirical simulations illustrating the advantages of the proposed algorithm are given.
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