Abstract
CoPlot method, an extension of multidimensional scaling, gives opportunity to investigate the relations between the observations, and between the variables on the same map. CoPlot consists of two graphs drawn on each other. First graph represents the distribution of n multivariate observations in a two dimensional space. The second graph consists of p arrows each representing a variable. By means of CoPlot, researchers can make more detailed comments about the multivariate data set with a single map. Since CoPlot is easy to understand, it has been used in various disciplines such as socioeconomic, economics and medicine but not in the demographic studies. In this study, CoPlot is briefly explained and a simple application of the method on a part of "Turkey Demographic and Health Survey, 2008" data set is presented. Superiority of CoPlot about visually interpreting the multivariate data set is emphasized by using an exceptional data set.