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 originale | English |
---|---|
Titolo della pubblicazione ospite | Modern Analysis of Customer Surveys: With Applications using R |
Editor | SILVIA SALINI, Ron S Kenett |
Pagine | 309-332 |
Numero di pagine | 24 |
DOI | |
Stato di pubblicazione | Pubblicato - 2012 |
Keywords
- PLS
- STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES