ABSTRACT
The aim of this chapter is to present a method for scaling judged similarity judgments, among items in a semantic domain, from many subjects into a single representation. We present a single spatial representation that contains scaled information on where each of 125 subjects locates 21 animals. Data were collected from subjects using two formats, namely triadic comparisons and paired comparison ratings. The method serves three main purposes. First, it enables one to comprehend and examine very large data sets that would otherwise not be accessible in a single coherent view. Second, it allows one to describe and test comparisons among individuals and subgroups. Third, it provides an optimally aggregated representation that can be used to predict cognitive behaviors that relate to cognitive structure.
