Social Indicators Research

, Volume 141, Issue 1, pp 95–110 | Cite as

A Proposal for a Model-Based Composite Indicator: Experience on Perceived Discrimination in Europe

  • Stefania CapecchiEmail author
  • Rosaria Simone


In social sciences the need often arises to compare and rank groups of respondents by analyzing huge amounts of data and composite indicators are amongst the most effective tools. The paper aims to design an original procedure suitable for ordinal data and able to synthesize subjective evaluations while accounting for both agreement and heterogeneity in response patterns. A composite indicator for ordinal data based on cub models is introduced: the proposal discloses and preserves the heterogeneity also at an aggregated level. Empirical evidence relies on perceived discrimination analysis stemming from the Special Eurobarometer Survey 2015.


Composite indicators Ordinal data Heterogeneity cub models Perceived discrimination 



This research has been partially funded by the CUBREMOT project (code: RBFR12SHVV) of the University of Naples Federico II, Italy. Authors thank very much Editor and Anonymous Referees for their critical comments and suggestions.


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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Political SciencesUniversity of Naples Federico IINaplesItaly

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