Abstract

The Chapter deals with the Partial Least Squares (PLS) estimation algorithm and its use in the context of Structural Equation Models with Latent Variables (SEM-LV). After a short description of the general structure of SEM-LV models, the PLS algorithm is introduced; then, statistical and geometrical interpretations of PLS are given. A detailed application example based on the ABC Annual Customer Satisfaction Survey (ACSS) data concludes the Chapter.
Lingua originaleEnglish
Titolo della pubblicazione ospiteModern Analysis of Customer Surveys: With Applications using R
EditorSILVIA SALINI, Ron S Kenett
Pagine309-332
Numero di pagine24
Stato di pubblicazionePubblicato - 2012

Keywords

  • PLS
  • STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

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