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

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Author Info
Pieralda FERRARI ()
Paola ANNONI ()
Silvia SALINI ()

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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.

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Paper provided by Department of Economics University of Milan Italy in its series Departemental Working Papers with number 2005-12.

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Date of creation: 01 Jan 2005
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Handle: RePEc:mil:wpdepa:2005-12

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Keywords: Nonlinear PCA Partial Credit Rasch Model Ordinal Variables

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