TY - JOUR
T1 - Some considerations to carry out a composite indicator for ordinal data
AU - Zanarotti, Maria Chiara
AU - Pagani, Laura
PY - 2015
Y1 - 2015
N2 - Composite indicators (CIs) are important and useful tools in many elds\r\nto assess, compare and rank performances, development stage, quality and\r\nmany other dierent targets. CIs are an overall measure of a multidimen-\r\nsional, not directly observable, concept and are obtained by means of a set of\r\nmanifest variables (elementary indicators) that contribute to dene the over-\r\nall measure. In this paper, some matters regarding methods to build CIs are\r\nreviewed, assuming elementary indicators are ordinal and quantication is\r\nnecessary to convert observed data into a numerical form. Scoring methods,\r\naggregating functions and weighting systems are considered. In particular,\r\na scoring method based on the observed distribution or the use of dissim-\r\nilarity indices for quantication together with the Kendall- association or\r\na heterogeneity measure for weighting are suggested. Some of the reviewed\r\nprocedures are compared using students' satisfaction data.
AB - Composite indicators (CIs) are important and useful tools in many elds\r\nto assess, compare and rank performances, development stage, quality and\r\nmany other dierent targets. CIs are an overall measure of a multidimen-\r\nsional, not directly observable, concept and are obtained by means of a set of\r\nmanifest variables (elementary indicators) that contribute to dene the over-\r\nall measure. In this paper, some matters regarding methods to build CIs are\r\nreviewed, assuming elementary indicators are ordinal and quantication is\r\nnecessary to convert observed data into a numerical form. Scoring methods,\r\naggregating functions and weighting systems are considered. In particular,\r\na scoring method based on the observed distribution or the use of dissim-\r\nilarity indices for quantication together with the Kendall- association or\r\na heterogeneity measure for weighting are suggested. Some of the reviewed\r\nprocedures are compared using students' satisfaction data.
KW - combining functions
KW - composite indicator
KW - dissimilarity indices
KW - ordered categorical variables
KW - performance index
KW - combining functions
KW - composite indicator
KW - dissimilarity indices
KW - ordered categorical variables
KW - performance index
UR - https://publicatt.unicatt.it/handle/10807/78958
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84952303161&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84952303161&origin=inward
U2 - 10.1285/i20705948v8n3p384
DO - 10.1285/i20705948v8n3p384
M3 - Article
SN - 2070-5948
VL - 8
SP - 384
EP - 397
JO - Electronic Journal of Applied Statistical Analysis
JF - Electronic Journal of Applied Statistical Analysis
IS - 3
ER -