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IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Milano.
AIR nasce in UNIMI nel 2006 con lo scopo di raccogliere, documentare e conservare le informazioni sulla produzione scientifica dell'Università degli Studi di Milano e costituisce di fatto l'Anagrafe della ricerca dell'Ateneo.
EnglishThe subjective assessment of quality of life, personal skills and the agreement with a certain opinion are common issues in clinical, social, behavioral and marketing research. A wide set of surveys providing ordinal data arises. Beside such variables, other common surveys generate responses on a continuous scale, where the variable actual point value cannot be observed since data belong to certain groups. This paper introduces a re-formalization of the recent “Monotonic Dependence Coefficient” (MDC) suitable to all frameworks in which, given two variables, the independent variable is expressed in ordinal categories and the dependent variable is grouped. We denote this novel coefficient with MDCgo. The MDCgo behavior and the scenarios in which it presents better performance with respect to the alternative correlation/association measures, such as Spearman’s r rS, Kendall’s τb and Somers’ Δ coefficients, are explored through a Monte Carlo simulation study. Finally, to shed light on the usefulness of the proposal in real surveys, an application to drug-expenditure data is considered.
MDCgo takes up the association/correlation challenge for grouped ordinal data / E. Raffinetti, F. Aimar. - In: ASTA ADVANCES IN STATISTICAL ANALYSIS. - ISSN 1863-8171. - 103:4(2019), pp. 527-561.
| Titolo: | MDCgo takes up the association/correlation challenge for grouped ordinal data |
| Autori: | |
| Parole Chiave: | grouped-ordinal data; dependence; correlation coefficients; association coefficients; Monte Carlo simulations |
| Settore Scientifico Disciplinare: | Settore SECS-S/01 - Statistica |
| Data di pubblicazione: | 2019 |
| Rivista: | |
| Tipologia: | Article (author) |
| Data ahead of print / Data di stampa: | 20-set-2018 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s10182-018-00341-1 |
| Appare nelle tipologie: | 01 - Articolo su periodico |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| MDCgo takes up the association:correlation challenge for grouped-ordinal data.pdf | Pre-print (manoscritto inviato all'editore) | Open Access Visualizza/Apri | ||
| ADVANCES_IN_STATISTICAL_ANALYSIS_2018.pdf | Publisher's version/PDF | Administrator Richiedi una copia |
http://hdl.handle.net/2434/594013
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