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

Jörg Henseler, Marko Sarstedt

Research output: Contribution to journalArticleAcademic

428 Citations (Scopus)
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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 (GoFrel), 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 GoFrel 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.
Original languageEnglish
Pages (from-to)565-580
JournalComputational statistics
Volume28
Issue number2
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Partial least squares path modeling (PLS)
  • Goodness-of-fit index (GoF)

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