Abstract
The aim of the paper is to present a study on the high-order latent variables for the partial least squares path modelling (PLS-PM).
A Monte Carlo simulation study is proposed for comparing the performances of the two best-known methods for modelling higher-order constructs, namely the repeated indicators and the two-step approaches. The simulation results, far from covering all the potential uses of the two approaches, could provide some useful suggestions to those researchers who are intending to introduce a further level of abstraction in modelling the phenomenon of interest.
An illustrative case study on the job satisfaction is reported in order to show how theoretical and statistical instances have to be taken into consideration when modelling higher-order constructs.
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Ciavolino, E., Nitti, M. (2013). Simulation Study for PLS Path Modelling with High-Order Construct: A Job Satisfaction Model Evidence. In: Proto, A., Squillante, M., Kacprzyk, J. (eds) Advanced Dynamic Modeling of Economic and Social Systems. Studies in Computational Intelligence, vol 448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32903-6_14
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DOI: https://doi.org/10.1007/978-3-642-32903-6_14
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