Goodness-of-fit indices for partial least squares path modeling

Title: Goodness-of-fit indices for partial least squares path modeling
Creator: Henseler, Jörg; Sarstedt, Marko
Relation: Computational Statistics Vol. 28, Issue 2, p. 565-580
Publisher Link: http://dx.doi.org/10.1007/s00180-012-0317-1
Publisher: Springer
Resource Type: journal article
Date: 2013
Description: This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoF_rel), we estimate PLS path models with simulated data, and contrast their values with fit indices commonly used in covariance-based structural equation modeling. The simulation shows that the GoF and the GoF_rel are not suitable for model validation. However, the GoF can be useful to assess how well a PLS path model can explain different sets of data.
Subject: partial least squares path modeling (PLS); goodness-of-fit index (GoF)
Identifier: http://hdl.handle.net/1959.13/1341377
Identifier: uon:28730
Identifier: ISSN:0943-4062
Rights: This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
Language: eng
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