A composite indicator is formed when elementary indicators are compiled into a single index, on the basis of an underlying model of the mul- tidimensional concept that is being measured. The PLS path modeling allows the estimation of composite indicators and the measurement model could be expressed both as formative and reflective. In this paper we construct a composite indicator of job quality using the PLS path modeling approach and compare results obtained by the formative and the reflective measurement models of the general concept. We observe that the two approaches can give different results. Consequently, we give some sugges- tions in order to estimate stable and reliable models.

Comments about the use of PLS path modeling in building a Job Quality Composite Indicator / Boccuzzo, Giovanna; Padua, Department of Statistical Sciences University of; Italy, ; Fordellone, Mario; Padua, Department of Statistical Sciences University of; Italy,. - ELETTRONICO. - 2:(2015), pp. 1-28.

Comments about the use of PLS path modeling in building a Job Quality Composite Indicator

FORDELLONE, MARIO;
2015

Abstract

A composite indicator is formed when elementary indicators are compiled into a single index, on the basis of an underlying model of the mul- tidimensional concept that is being measured. The PLS path modeling allows the estimation of composite indicators and the measurement model could be expressed both as formative and reflective. In this paper we construct a composite indicator of job quality using the PLS path modeling approach and compare results obtained by the formative and the reflective measurement models of the general concept. We observe that the two approaches can give different results. Consequently, we give some sugges- tions in order to estimate stable and reliable models.
2015
composite indicator, PLS path models, formative approach, re- flective approach, job quality
03 Monografia::03a Saggio, Trattato Scientifico
Comments about the use of PLS path modeling in building a Job Quality Composite Indicator / Boccuzzo, Giovanna; Padua, Department of Statistical Sciences University of; Italy, ; Fordellone, Mario; Padua, Department of Statistical Sciences University of; Italy,. - ELETTRONICO. - 2:(2015), pp. 1-28.
File allegati a questo prodotto
File Dimensione Formato  
Boccuzzo_Comments_2015.pdf

accesso aperto

Note: Articolo principale
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Creative commons
Dimensione 2.44 MB
Formato Adobe PDF
2.44 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/870477
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact