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

Author

Listed:
  • Pieralda FERRARI
  • Paola ANNONI
  • Silvia SALINI

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.

Suggested Citation

  • Pieralda FERRARI & Paola ANNONI & Silvia SALINI, 2005. "A comparison between alternative models for environmental ordinal data: Nonlinear PCA vs Rasch Analysis," Departmental Working Papers 2005-012, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    • Handle: RePEc:mil:wpdepa:2005-012
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