Ordinal Consistent Partial Least Squares

Florian Schuberth*, Gabriele Cantaluppi

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libroChapter

2 Citazioni (Scopus)


In this chapter, we present a new variance-based estimator called ordinal consistent partial least squares (OrdPLSc). It is a promising combination of consistent partial least squares (PLSc) and ordinal partial least squares (OrdPLS), respectively, which is capable to deal in structural equation models with common factors, composites, and ordinal categorical indicators. Besides providing the theoretical background of OrdPLSc, we present three approaches to obtain constructs scores from OrdPLS and OrdPLSc, which can be used, e.g., in importance-performance matrix analysis. Finally, we show its behavior on an empirical example and provide a practical guidance for the assessment of SEMs with ordinal categorical indicators in the context of OrdPLSc.
Lingua originaleEnglish
Titolo della pubblicazione ospitePartial Least Squares Path Modeling
EditorHengky Latan, Richard Noonan
Numero di pagine42
Stato di pubblicazionePubblicato - 2017


  • Ordinal Consistent Partial Least Squares (OrdPLSc)
  • Partial Least Squares (PLS)


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