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Complementary Use of Rasch Models and Nonlinear Principal Components Analysis in the Assessment of the Opinion of Europeans About Utilities


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  • Pier Ferrari


  • Silvia Salini



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Bibliographic Info

Article provided by Springer in its journal Journal of Classification.

Volume (Year): 28 (2011)
Issue (Month): 1 (April)
Pages: 53-69

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Handle: RePEc:spr:jclass:v:28:y:2011:i:1:p:53-69

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Related research

Keywords: Customer satisfaction; Eurobarometer; Ordinal variables; Service quality;


References listed on IDEAS
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  1. Carlo Fiorio & M. Florio & S. Salini & P. Ferrari, 2007. "Consumers’ Attitudes on Services of General Interest in the EU: Accessibility, Price and Quality 2000-2004," Working Papers 2007.2, Fondazione Eni Enrico Mattei.
  2. Silvia Salini & Ron Kenett, 2009. "Bayesian networks of customer satisfaction survey data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1177-1189.
  3. Rich, Richard, 1988. "The Economic Development of Japan c. 1868–1941. By W. J. Macpherson. Houndmills, Basingstoke, Hampshire: Macmillan Education Ltd., 1987. Pp. 93. $8.50," The Journal of Economic History, Cambridge University Press, vol. 48(03), pages 760-761, September.
  4. Pieralda FERRARI & Paola ANNONI & Silvia SALINI, 2005. "A comparison between alternative models for environmental ordinal data: Nonlinear PCA vs Rasch Analysis," Departmental Working Papers 2005-12, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  5. Pier Alda Ferrari & Paola Annoni & Giancarlo Manzi, 2007. "Evaluation and comparison of European countries: public opinion on services," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1058, Universitá degli Studi di Milano.
  6. Maurizio Vichi & Roberto Rocci & Henk A.L. Kiers, 2007. "Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches," Journal of Classification, Springer, vol. 24(1), pages 71-98, June.
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Cited by:
  1. Giancarlo MANZI & Pier Alda FERRARI, 2014. "Statistical methods for evaluating satisfaction with public services," CIRIEC Working Papers 1404, CIRIEC - Université de Liège.


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