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.

Autore Pugliese

• Ciavolino Enrico

Tutti gli autori

• Ciavolino E. , Nitti M.

Titolo volume/Rivista

STUDIES IN COMPUTATIONAL INTELLIGENCE

Anno di pubblicazione

2013

ISSN

1860-949X

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

Non Disponibile