Political analysis revisited: Methods and Techniques

Abstract

This panel introduces a series of advanced quantitative data analysis methods used to analyze and interpret political and electoral competition, based on the triangular representation among Parties, Candidates, and Issues. The main objective is to present a data analysis methods and techniques to visualize, classify and interpret data in political sciences, such as Classification Ascendante Hiérarchique (CAH), Analysis Factorial Correspondence (AFC), Analyse en Composantes Principals (ACP), Conjoint Analysis, and Game Theory. We try to discuss the effect of the electoral law on the voter [constraining or un-constraining] and the effect on the party system [reductive or non-reductive]. We refer to the axes of political competition using the electoral results or data from surveys. Through this approach the geographical pattern of vote and the axes of political competition are realized. Furthermore, using the data from election surveys we get the attitudes for a number of social and demographic variables connected with the reported vote (or the vote intention) for each party. From a comparative perspective, the similarities and dissimilarities were given. If political methodology is to play an important role in the future of political science, scholars will need to find ways of representing more interesting political contexts in quantitative analyses. This does not mean that scholars should just build more and more complicated statistical models. Instead, we need to represent more of the essence of political phenomena in our models. The advantage of formal and quantitative approaches is that they are abstract representations of the political world and are, thus, much clearer. We need methods that enable us to abstract the right parts of the phenomenon we are studying and exclude everything superfluous. Gary King. "On Political Methodology," Political Analysis, Vol. 2 (1991): Pp. 1-30.

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