Rescaling proximity matrix using entropy analyzed by INDSCAL

Abstract

Yokoyama and Okada (2005, in press) suggested a new method that rescales a brand-switching data matrix using entropy. These studies applied the rescaling method to car-switching data, and the configuration derived by Kruskal's multidimensional scaling was interpreted as the circumplex. In the present paper, we apply that rescaling method to intergenerational occupational mobility data for four years, and analyzed the resluts by Krsukal's multidimensional scaling. As a result, the configurations are also interpreted as the circumplex. Furthermore, we also find that the result of the analysis of these rescaled data by INDSCAL is interpreted as the circumplex.