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From multiple choice questionnaires to synthetic indicators: jointly use of Rasch analysis and NonLinear PCA

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Author Info
Paola Annoni (Dep. of Economics, Business and Statistics - University of Milan)
Pieralda Ferrari (Dep. of Economics, Business and Statistics - University of Milan)

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Abstract

The jointly use of two latent factors methods is proposed to assess a measurement instrument for underlying phenomena. In particular the decay status of valuable Italian buildings is quantified on the basis of a wide set of observed categorical variables. At the purpose, Rasch analysis is used to properly calibrate the data, to discard non informative variables and redundant categories. As a second step, an optimal scaling technique, Nonlinear PCA, is applied to quantify variable categories and to compute a quantitative decay indicator, which could be independently used for units of future inventory. On the overall, similarities and different capabilities of the two techniques are analyzed and discussed.

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Publisher Info
Paper provided by Universitá degli Studi di Milano in its series UNIMI - Research Papers in Economics, Business, and Statistics with number 1038.

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Date of creation: 19 Oct 2006
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Handle: RePEc:bep:unimip:1038

Note: oai:cdlib1:unimi-1038
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Related research
Keywords: Partial Credit Rasch Model Ordinal Variables Nonlinear PCA damage indicator

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