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Measuring the quality of work: the case of the Italian social cooperatives

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  • Maurizio Carpita
  • Silvia Golia

Abstract

Quality of work has within a short time become a major subject of study and discussion in labour economy. Its quantification is a challenging task because it implies the translation of various subjective perceptions into a single objective measure (composite indicator). In this paper, the method used to construct measures is the Rating Scale Model and the available data come from the Survey on Italian Social Cooperatives carried out in 2007. The validity of the obtained Rasch measures is tested with respect to some overall variables of the quality of work. Moreover, using inferential confidence intervals, these measures are utilized to evaluate the differences in the perception of the quality of work due to worker (gender, age and education) and cooperative (type, dimension and geographic area) characteristics, work characteristics (service area, membership, time and type of contract) and work incentives (economic, professional and learning). Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Maurizio Carpita & Silvia Golia, 2012. "Measuring the quality of work: the case of the Italian social cooperatives," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1659-1685, October.
  • Handle: RePEc:spr:qualqt:v:46:y:2012:i:6:p:1659-1685
    DOI: 10.1007/s11135-011-9515-0
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    References listed on IDEAS

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    Cited by:

    1. Giovanna Boccuzzo & Licia Maron, 2017. "Proposal of a composite indicator of job quality based on a measure of weighted distances," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2357-2374, September.
    2. Enrico Ciavolino & Maurizio Carpita & Mariangela Nitti, 2015. "High-order PLS path model with qualitative external information," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1609-1620, July.
    3. M. Agovino & A. Rapposelli, 2017. "Regional Performance Trends in Providing Employment for Persons with Disabilities: Evidence from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 593-615, January.
    4. Elena Stefana & Filippo Marciano & Diana Rossi & Paola Cocca & Giuseppe Tomasoni, 2021. "Composite Indicators to Measure Quality of Working Life in Europe: A Systematic Review," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 1047-1078, October.
    5. Silvia Golia & Anna Simonetto, 2015. "Treating ordinal data: a comparison between rating scale and structural equation models," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 903-915, May.
    6. Enrico Ciavolino & Maurizio Carpita, 2015. "The GME estimator for the regression model with a composite indicator as explanatory variable," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 955-965, May.

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