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A comparison between alternative models for environmental ordinal data: Nonlinear PCA vs Rasch Analysis

Pieralda Ferrari (), Paola Annoni and Silvia Salini ()

Departmental Working Papers from Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano

Abstract: Two 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.

Keywords: Nonlinear PCA; Partial Credit Rasch Model; Ordinal Variables (search for similar items in EconPapers)
Date: 2005-01-01
New Economics Papers: this item is included in nep-dcm and nep-env
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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