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Assessing Unidimensionality within PLS Path Modeling Framework

Studies in classification, data analysis, and knowledge organizationPublished 1 January 2006
Karin Sahmer, Mohamed Hanafi, Mostafa El Qannari
Citations30
SJR quartileQ4
SJR score0.13
SNIP0.15

TL;DR

Two original methods based on permutation procedures are proposed for the determination of the number of components in principal components analysis and they are compared to each others by means of a simulation study.

Abstract

In very many applications and, in particular, in PLS path modeling, it is of paramount importance to assess whether a set of variables is unidimensional. For this purpose, different methods are discussed. In addition to methods generally used in PLS path modeling, methods for the determination of the number of components in principal components analysis are considered. Two original methods based on permutation procedures are also proposed. The methods are compared to each others by means of a simulation study.

Keywords

Environmental Science