This paper introduces a novel method for analyzing survey data with ternary preferences, where alternatives are ranked from best to worst and classified as acceptable, neutral, or unacceptable. We propose a distance-based consensus measure and a procedure to estimate individual contributions to consensus. Using data from the Italian National Institute of Statistics (ISTAT) annual survey on daily life, we analyze regional perceptions of significant problems, revealing key regional drivers of agreement and disagreement.
Alessandro Albano, José Luis García-Lapresta, Antonella Plaia, Mariangela Sciandra (2025). A distance-based consensus measure for analyzing ternary preferences. In G. Boccuzzo, E. Bovo, M. Manisera, L. Salmaso (a cura di), Book of Short Papers 2025 Conference of the 12th Scientific Meeting of the Statistics for the Evaluation and Quality of Services Group.
A distance-based consensus measure for analyzing ternary preferences
Alessandro Albano
;Antonella Plaia;Mariangela Sciandra
2025-01-01
Abstract
This paper introduces a novel method for analyzing survey data with ternary preferences, where alternatives are ranked from best to worst and classified as acceptable, neutral, or unacceptable. We propose a distance-based consensus measure and a procedure to estimate individual contributions to consensus. Using data from the Italian National Institute of Statistics (ISTAT) annual survey on daily life, we analyze regional perceptions of significant problems, revealing key regional drivers of agreement and disagreement.
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