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.

Schuberth, F., Cantaluppi, G., Ordinal Consistent Partial Least Squares, in Latan, H., Noonan, R. (ed.), Partial Least Squares Path Modeling, Springer International Publishing AG, Cham 2017: 109- 150. 10.1007/978-3-319-64069-3_6 [http://hdl.handle.net/10807/111229]

Ordinal Consistent Partial Least Squares

Cantaluppi, Gabriele
Methodology
2017

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.
Inglese
Partial Least Squares Path Modeling
978-3-319-64068-6
Springer International Publishing AG
Schuberth, F., Cantaluppi, G., Ordinal Consistent Partial Least Squares, in Latan, H., Noonan, R. (ed.), Partial Least Squares Path Modeling, Springer International Publishing AG, Cham 2017: 109- 150. 10.1007/978-3-319-64069-3_6 [http://hdl.handle.net/10807/111229]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/111229
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