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Modelling the quality of work in the Italian social co-operatives combining NPCA-RSM and SEM-GME approaches

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  • Enrico Ciavolino
  • Maurizio Carpita
  • Amjad Al-Nasser

Abstract

The objective of this paper is to describe and analyse with appropriate statistical models the links between work quality latent factors. Due to the complexity of the task, the analysis is carried out through a two-step approach: In the first step, we construct some multidimensional measures of the subjective quality of work, using nonlinear principal component analysis (NPCA) and Rasch analysis with the Rating Scale Model (NPCA-RSM); In the second step, we adopt a Structural Equation Model based on generalized maximum entropy (SEM-GME) to integrate the measures achieved with the previous step and to evaluate the relationships between the subjective work quality latent factors. Therefore, the novel aspects of this paper are the following: (i) The integration between the NPCA-RSM and SEM-GME, which allows reduction of the variables analysed and evaluation of the measurement errors; (ii) The formalization of a Job Satisfaction Model for the study of the relationships between the subjective work quality latent factors in the Italian social services sector.

Suggested Citation

  • Enrico Ciavolino & Maurizio Carpita & Amjad Al-Nasser, 2015. "Modelling the quality of work in the Italian social co-operatives combining NPCA-RSM and SEM-GME approaches," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(1), pages 161-179, January.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:1:p:161-179
    DOI: 10.1080/02664763.2014.938226
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    References listed on IDEAS

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    1. Bruno S. Frey, 1997. "Not Just for the Money," Books, Edward Elgar Publishing, number 1183.
    2. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
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    Cited by:

    1. Ferreira, Diogo Cunha & Marques, Rui Cunha & Nunes, Alexandre Morais & Figueira, José Rui, 2021. "Customers satisfaction in pediatric inpatient services: A multiple criteria satisfaction analysis," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    2. Enrico Ciavolino & Sergio Salvatore & Piergiorgio Mossi & Gloria Lagetto, 2019. "High-order PLS path model for multi-group analysis: the prosumership service quality model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2371-2384, September.
    3. Enrico Ciavolino & Massimo Aria & Jun-Hwa Cheah & José Luis Roldán, 2022. "A tale of PLS Structural Equation Modelling: Episode I— A Bibliometrix Citation Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1323-1348, December.
    4. Jun-Hwa Cheah & Hiram Ting & T. Ramayah & Mumtaz Ali Memon & Tat-Huei Cham & Enrico Ciavolino, 2019. "A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1421-1458, May.
    5. Lucadamo, Antonio & Camminatiello, Ida & D'Ambra, Antonello, 2021. "A statistical model for evaluating the patient satisfaction," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    6. Maurizio Carpita & Enrico Ciavolino & Mariangela Nitti, 2019. "The MIMIC–CUB Model for the Prediction of the Economic Public Opinions in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 287-305, November.
    7. Anna Crisci & Enrica Sepe & Pasqualina Malafronte, 2019. "What influences teachers’ job satisfaction and how to improve, develop and reorganize the school activities associated with them," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2403-2419, September.
    8. Emanuela Ingusci & Fulvio Signore & Claudio Giovanni Cortese & Monica Molino & Paola Pasca & Enrico Ciavolino, 2023. "Development and validation of the Remote Working Benefits & Disadvantages scale," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1159-1183, April.
    9. Pasquale Sarnacchiaro & Ida Camminatiello & Luigi D’Ambra & Raffaela Palma, 2019. "How does public service motivation affect teacher self-reported performance in an education system? Evidence from an empirical analysis in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2521-2533, September.

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