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

Jörg Henseler () and Marko Sarstedt ()

Computational Statistics, 2013, vol. 28, issue 2, 565-580

Abstract: 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. Copyright The Author(s) 2013

Keywords: Partial least squares path modeling (PLS); Goodness-of-fit index (GoF); C39 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (202)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:28:y:2013:i:2:p:565-580

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DOI: 10.1007/s00180-012-0317-1

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