Missing data in optimal scaling
We propose a procedure to assess a measure for a latent phenomenon, starting from the observation of a wide set of ordinal variables affected by structured missing data. The proposal is based on Nonlinear PCA technique to be jointly used with an ad hoc imputation method for the treatment of missing data. The procedure is particularly suitable when dealing with ordinal, or mixed, variables, which are strongly interrelated and in the presence of specific patterns of missing observations
|Date of creation:||01 Jan 2005|
|Contact details of provider:|| Postal: Via Conservatorio 7, I-20122 Milan - Italy|
Phone: +39 02 50321522
Fax: +39 02 50321505
Web page: http://www.demm.unimi.it
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Pieralda Ferrari & Paola Annoni & Sergio Urbisci, 2005. "A Proposal for Setting-up Indicators in the Presence of Missing Data: the Case of Vulnerability Indicators," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1002, Universitá degli Studi di Milano.
When requesting a correction, please mention this item's handle: RePEc:mil:wpdepa:2005-19. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (DEMM Working Papers)
If references are entirely missing, you can add them using this form.