### Abstract

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.

Original language | English |
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Title of host publication | Partial Least Squares Path Modeling |

Subtitle of host publication | Basic Concepts, Methodological Issues and Applications |

Editors | Hengky Latan, Richard Noonan |

Publisher | Springer |

Pages | 109-150 |

Number of pages | 42 |

ISBN (Electronic) | 978-3-319-64069-3 |

ISBN (Print) | 978-3-319-64068-6 |

DOIs | |

Publication status | Published - 2017 |

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### Cite this

*Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications*(pp. 109-150). Springer. https://doi.org/10.1007/978-3-319-64069-3_6

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*Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications.*Springer, pp. 109-150. https://doi.org/10.1007/978-3-319-64069-3_6

**Ordinal Consistent Partial Least Squares.** / Schuberth, Florian ; Cantaluppi, Gabriele.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Ordinal Consistent Partial Least Squares

AU - Schuberth, Florian

AU - Cantaluppi, Gabriele

PY - 2017

Y1 - 2017

N2 - In this chapter, we present a new variance-based estimator called ordinalconsistent 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.

AB - In this chapter, we present a new variance-based estimator called ordinalconsistent 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.

U2 - 10.1007/978-3-319-64069-3_6

DO - 10.1007/978-3-319-64069-3_6

M3 - Chapter

SN - 978-3-319-64068-6

SP - 109

EP - 150

BT - Partial Least Squares Path Modeling

A2 - Latan, Hengky

A2 - Noonan, Richard

PB - Springer

ER -