Logo del repository
  1. Home
 
Opzioni

Composite indicator for ordinal data: some considerations about variable transformation and link function

Laura Pagani
•
Maria Chiara Zanarotti
2013
  • other

Abstract
Composite indicators are very important tools required in many different fields to asses, compare and rank performances, development stage, quality, and many other different targets. Typically composite indicators are devoted to measure a multi-dimensional not directly observable concept by means of a set of appropriate manifest variables (elementary indicators) which contribute to overall measure of the unobservable concept. In this paper some matters regarding methods to achieve the composite indicators are discussed assuming manifest variables are measured on ordinal categorical scale and a scaling procedure is adopted to convert observed data into numerical data. Also aggregating function and weighing system are considered and the use of dissimilarity indexes together with Kendall--association or heterogeneity indexes for weighting is suggested. An application of these techniques in satisfaction measure is then performed and compared with other alternative procedures. less
Archivio
http://hdl.handle.net/11390/1042564
Diritti
metadata only access
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback