Dealing with categorical data in a multidimensional context: The multidimensional balanced worth.
Journal
Social science research
ISSN: 1096-0317
Titre abrégé: Soc Sci Res
Pays: United States
ID NLM: 0330501
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
received:
02
04
2020
revised:
27
11
2020
accepted:
24
03
2021
entrez:
19
4
2021
pubmed:
20
4
2021
medline:
22
4
2022
Statut:
ppublish
Résumé
This paper presents an evaluation protocol that permits evaluating the relative performance of a set of populations in a multidimensional context when outcomes are measured in terms of categorical variables. This problem appears in many different fields, such as Medicine, Social Sciences, or Engineering. The key ingredient for this evaluation is comparing the likelihood of achieving higher performance levels in the different dimensions. This way of addressing this family of problems derives from extending the balanced worth (Herrero and Villar, 2018) to a multidimensional setting. This evaluation protocol is illustrated by means of two empirical applications regarding life satisfaction in Europe and multidimensional poverty measurement in Spain.
Identifiants
pubmed: 33867012
pii: S0049-089X(21)00038-7
doi: 10.1016/j.ssresearch.2021.102561
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
102561Informations de copyright
Copyright © 2021 Elsevier Inc. All rights reserved.