Latent Variable Path Modeling with Partial Leas, Lohmoller, Jan-Bernd<-

Latent Variable Path Modeling with Partial Least SquaresAuthor(s): Jan-Bernd Lohmller\nFormat: Paperback\nPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany\nImprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K\nISBN-13: 9783642525148, 978-3642525148\nSynopsis\nPartial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of special cases of PLS (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general PLS technique. The proof of the convergence of the PLS algorithm is extended bey.