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Assessing Unidimensionality within PLS Path Modeling Framework

  • Karin Sahmer
  • Mohamed Hanafi
  • Mostafa El Qannari
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

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

Permutation Test Noise Data Principal Component Analysis Model Permutation Procedure Break Stick 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin · Heidelberg 2006

Authors and Affiliations

  • Karin Sahmer
    • 1
  • Mohamed Hanafi
    • 1
  • Mostafa El Qannari
    • 1
  1. 1.Unité de sensométrie et de chimiométrieENITIAA / INRANantes Cedex 03France

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