Semantic Map: Bringing Together Groups and Discourses

This chapter presents a multivariate analysis method which is developed in two steps using combination of Hierarchical cluster (HCA) and Factorial Correspondence Analysis (AFC). To explain describe the method, we use an application example on survey dataset from young students Thessaloniki trying to investigate their behavioral profiles terms political characteristics how these may be affected about attendance civic education course offered by Political Science department Aristotle University Thessaloniki. The explained step this serving as manual its researcher. HCA assigns subjects into membership variables next stage, new are jointly analyzed with AFC. manages extract dimensions phenomenon study, explaining inner antithesis between categories but also giving opportunity visualize information two-dimensional space, semantic map, making interpretation more comprehensive. then applied again AFC’s coordinates constructing subjects, assigning them variables.