A two-step procedure to analyse users' satisfaction
Pieralda Ferrari, University Milan
Laura Pagani, University of Udine
Carlo V. Fiorio, University of Milan
Download the Paper (PDF format) - March 17, 2008
Tell a colleague about it.
Printing Tips: Select 'print as image' in the Acrobat print dialog if you have trouble printing.
ABSTRACT:
In this paper an integrated use of Nonlinear Principal Component Analysis (NLPCA)
and Multilevel Models (MLM) for the analysis of satisfaction data is
proposed. The basic hypothesis is that observed ordinal variables
describe different aspects of a latent continuous variable that
depends on individual and contextual covariates. NLPCA is used to measure the level of a latent variable
and MLM are adopted for detecting individual and
environmental determinants of the level. By using the Eurobarometer
survey data, this approach is
applied to analyse the European users' satisfaction with
services of general interest after the recent privatisation and
liberalisation policies.
SUBJECT AREA:
c43, c51, l3
SUGGESTED CITATION:
Pieralda Ferrari, Laura Pagani, and Carlo V. Fiorio,
"A two-step procedure to analyse users' satisfaction"
(March 2008).
UNIMI - Research Papers in Economics, Business, and Statistics.
Statistics and Mathematics.
Working Paper 31.
http://services.bepress.com/unimi/statistics/art31
| 
