"The aim of the present paper is two-fold: on the one hand, it introduces a new methodological approach in the social sciences; and on the other, it focuses on the development over time of social security policies in Greece. Multi-dimensional data analysis methods and, in particular, correspondence analysis (CA) and hierarchical cluster analysis (HCA) have been chosen as the most suitable statistical methods. Without an a priori hypothesis, these result in the depiction of the subject while allowing, at the same time, critical interpretations of the relationships that emerge between social policies. Juxtapositions of extreme situations, and medium to extreme ones, lead to useful conclusions from the perspective of correspondence analysis. In the same way, hierarchical cluster analysis results in the creation of groups consisting of years and the characteristics which determine them and deliver particular content. Finally, analysis of the subject permits the connection between developments in Greece and similar policy trends in the European Union. "

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