Explanatory Multivariate Methods: the Importance of Performance Matrix: Data Analysis by the Sphinx Software
Year: 2025
Type: article
Abstract: Multivariate analyses are characterized by a higher degree of technicality and a stronger returning with renewed vigor to mathematics; moreover, Multivariate analyses meet three objectives: explanation, synthesis and classification. In our contribution we are interested in one of the named explanatory multivariate techniques; importance-performance matrix. The latter makes it possible to understand how a variable is possibly influenced by a series of other variables: which have no influence. The illustration of this technique is based on a raw survey file on the satisfaction of pensioners with the services provided by the national pension fund. The analysis of survey data is done by the Sphinx software.
Authors: Bekhtaoui Assia, Hachem Amel, Djaileb Farida
Institutions: Université d'Oran 2, University of Oran 2 Mohamed Ben Ahmed
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $100
OpenAlex ID: W4410909736