In this paper we investigate explorative approaches to group comparison in PLS Path Modeling. Starting from the model estimated on the whole population, we intend to verify if different sub-populations lead to different path models and path coefficient estimates. We propose to face the problem by means of two different approaches. In the first one, a model building strategy is applied to sub-populations in order to verify if they belong to the same model; a procedure for path coefficients comparison can be then applied. In the second one, partial analysis precedes the PLS algorithm in order to estimate the model net of the effect of a categorical variable defining the groups; a comparison is then made between the partial models and the global one. In both approaches, the comparison will focus on communality/redundancy indexes.
Exploratory approaches to group comparison in PLS Path Modeling
BALZANO, Simona
2003
Abstract
In this paper we investigate explorative approaches to group comparison in PLS Path Modeling. Starting from the model estimated on the whole population, we intend to verify if different sub-populations lead to different path models and path coefficient estimates. We propose to face the problem by means of two different approaches. In the first one, a model building strategy is applied to sub-populations in order to verify if they belong to the same model; a procedure for path coefficients comparison can be then applied. In the second one, partial analysis precedes the PLS algorithm in order to estimate the model net of the effect of a categorical variable defining the groups; a comparison is then made between the partial models and the global one. In both approaches, the comparison will focus on communality/redundancy indexes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
