Optimal scaling is reviewed in the framework of a comprehensive multidimensional data analysis strategy, called the Data Theory Scaling System (DTSS). The optimal scaling methodology has a lot of potential for the analysis of multivariate data that are qualitative, non-normally distributed, or incomplete. Also, the system can easily deal with nonlinear relationships between the variables to be analyzed. A crucial aspect of DTSS is the graphical display of the results of the analysis. The most recent developments of DTSS include the integration of optimal scaling with combinatorial data analysis, e.g., ordering tasks in one dimension, and the fitting of graphs to multivariate data
CITATION STYLE
Meulman, J. J., Hubert, L. J., & Heiser, W. J. (1998). The Data Theory Scaling System (pp. 489–496). https://doi.org/10.1007/978-3-642-72253-0_66
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