Analysing databases of quantitative and qualitative data with missing qualitative values
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1
Universidad de La Rioja
info
Année de publication: 2009
Pages: 209
Congreso: 23rd European Conference on Operational Research. Bonn, July 5 - 8, 2009
Type: Communication dans un congrès
Résumé
The analysis of databases with qualitative and quantitative data iscomplex. A new procedure was applied for the estimation of quali-tative missing values: we first applied optimal scaling (OS) to com-plete data; next, correlations between variables were studied; third,the relationships between variables were explored using Path Anal-ysis; and, finally, a homogeneity analysis based procedure was fol-lowed in order to obtain the imputations that were used in the finalOS analysis. The OS analysis was performed a second time, and theresults were interpreted using CATPCA and Property Fitting.