Suchergebnisse

The democratisation and economic growth of the Asian Tigers, specifically South Korea and Taiwan, brought structural changes to the academic systems of these countries, particularly in the fields of political science and international relations. The article aims to provide a comprehensive and hybrid view on the regularity of political science in the academic environments (university systems) of East Asian countries with a focus on South Korea and Taiwan through the observational analysis method and a historical-sociological mechanism. The findings are summarised, where it is argued that the pentagonal democratic citizenship system (legal, political, cultural, social, economic) as well as the establishing of structural and updated political-economic relations with the main powers in the international system are the two crtitcial factors that have contributed to the adjustment of political science in East Asian countries, including South Korea and Taiwan. The article concludes that, along with the international and domestic developments in South Korea and Taiwan, political science underwent structural changes and is becoming more regulated and structured. Keywords: South Korea, Taiwan, political science, democracy, institution

Abstract
In this paper, we investigated the utility of data mining to classify individuals into predefined categories of a target variable, based on their social and political attitude. Data collected for a social psychology study conducted in Greece in 1994 were used for this purpose. We established the theoretical background of our analysis through explanatory factor analysis. We ran the decision tree algorithm CHAID in order to build a predictive model that classifies the study participants in terms of their attitude toward physical and symbolic violence. The CHAID algorithm provided a decision tree that was easily interpreted, and which revealed meaningful predictive patterns. CHAID algorithm showed satisfactory predictive ability and promising alternatives to social psychology data analysis. To the best of our knowledge, there is no other evidence in the literature that the decision tree algorithms can be used to identify latent variables.