EXPLANATORY MULTIVARIATE METHODS: THE IMPORTANCE OF PERFORMANCE MATRIX: DATA ANALYSIS BY THE SPHINX SOFTWARE

Keywords: Importance, Performance, Satisfaction, Sphinx

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.

References

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DELENDAAissa, 2012, survey and survey practice in social science, pedagogical manual, edition of the research laboratory in population strategies and sustainable development, University of Oran.

GANASSALI Stéphane, 2009, questionnaire surveys with sphinx, Edition Pearson, University of Paris Panthéon - Sorbonne.

GANASSALI Stéphane, 2014, Surveys and data analysis with Sphinx, published by Pearson France, University of Savoy.

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Published
2025-03-30
Citations
How to Cite
Bekhtaoui Assia, Hachem Amel, & Djaileb Farida. (2025). EXPLANATORY MULTIVARIATE METHODS: THE IMPORTANCE OF PERFORMANCE MATRIX: DATA ANALYSIS BY THE SPHINX SOFTWARE. International Journal of Innovative Technologies in Social Science, (1(45). https://doi.org/10.31435/ijitss.1(45).2025.3380