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Ordinal Consistent Partial Least Squares

In: Partial Least Squares Path Modeling

Author

Listed:
  • Florian Schuberth

    (University of Würzburg, Faculty of Business Management and Economics)

  • Gabriele Cantaluppi

    (Università Cattolica del Sacro Cuore, Faculty of Economics, Department of Statistical Science)

Abstract

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.

Suggested Citation

  • Florian Schuberth & Gabriele Cantaluppi, 2017. "Ordinal Consistent Partial Least Squares," Springer Books, in: Hengky Latan & Richard Noonan (ed.), Partial Least Squares Path Modeling, chapter 0, pages 109-150, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-64069-3_6
    DOI: 10.1007/978-3-319-64069-3_6
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