Metodi per la costruzione di indicatori della qualità del lavoro: un’applicazione al settore dei servizi sociali

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Article

Journal	STATISTICA & APPLICAZIONI
Issue	STATISTICA & APPLICAZIONI - 2003 - 2
Title	Metodi per la costruzione di indicatori della qualità del lavoro: un’applicazione al settore dei servizi sociali
Author	Maurizio Carpita
Publisher	Vita e Pensiero
Format	Article \| Pdf
Online da	09-2017
Issn	1824-6672 (print) \| 2283-6659 (digital)
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Description Readers' comments
In social and economics research it is common practice to provide an index to evaluate a particular aspect summarizing answers to a group of interview items measured on an ordinal scale. This paper takes into account the possibilities of the optimal scaling algorithm Princals ( principal component analysis by means of alternating least squares). This algorithm simultaneously gives both a measure of ordered answer categories and a weight referring to the importance to be attributed to each item. Princals is tested on a data set collected through a survey concerning the job quality of 2000 remunerated employees in the italian social services sector. The obtained results are compared to the results of the usual techniques of scaling. Keywords: Optimal scaling, Non linear PCA, job satisfaction, Social services sector. Author biography Maurizio Carpita, Dipartimento Metodi Quantitativi – Università degli Studi di Brescia – Contrada S. Chiara, 50, 25122 Brescia (e-mail: carpita@eco.unibs.it). Enter a comment for Metodi per la costruzione di indicatori della qualità del lavoro: un’applicazione al settore dei servizi sociali

Description Readers' comments

In social and economics research it is common practice to provide an index to evaluate a particular aspect summarizing answers to a group of interview items measured on an ordinal scale. This paper takes into account the possibilities of the optimal scaling algorithm Princals ( principal component analysis by means of alternating least squares). This algorithm simultaneously gives both a measure of ordered answer categories and a weight referring to the importance to be attributed to each item. Princals is tested on a data set collected through a survey concerning the job quality of 2000 remunerated employees in the italian social services sector. The obtained results are compared to the results of the usual techniques of scaling.

Keywords: Optimal scaling, Non linear PCA, job satisfaction, Social services sector.

Author biography

Maurizio Carpita, Dipartimento Metodi Quantitativi – Università degli Studi di Brescia – Contrada S. Chiara, 50, 25122 Brescia (e-mail: carpita@eco.unibs.it).

Enter a comment for Metodi per la costruzione di indicatori della qualità del lavoro: un’applicazione al settore dei servizi sociali