A comparison between alternative models for environmental ordinal data: Nonlinear PCA vs Rasch Analysis
AbstractTwo different methodologies, Nonlinear PCA and Partial Credit version of Rasch model, are applied to real data to obtain a quantitative measure of a latent factor. Specifically the goal is to identify the level of damage of a set of particurarly valuable public buildings. Several ordinal variables are observed on each building, which describe various aspects of damage severity. Scoreson each bulding are then assigned on the basis of computed 'vulnerability' level.
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Bibliographic InfoPaper provided by Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano in its series Departmental Working Papers with number 2005-12.
Date of creation: 01 Jan 2005
Date of revision:
Nonlinear PCA; Partial Credit Rasch Model; Ordinal Variables;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-06-05 (All new papers)
- NEP-DCM-2005-06-05 (Discrete Choice Models)
- NEP-ENV-2005-06-05 (Environmental Economics)
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- Pier Ferrari & Silvia Salini, 2011. "Complementary Use of Rasch Models and Nonlinear Principal Components Analysis in the Assessment of the Opinion of Europeans About Utilities," Journal of Classification, Springer, vol. 28(1), pages 53-69, April.
- P. A. Ferrari & S. Salini, 2008. "Measuring Service Quality: The Opinion of Europeans about Utilities," Working Papers 2008.36, Fondazione Eni Enrico Mattei.
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