This paper provides an intuitive introduction to cluster analysis. Our targeting audience are both scholars and students in Political Science. Methodologically, we use basic simulation to illustrate the underlying log...This paper provides an intuitive introduction to cluster analysis. Our targeting audience are both scholars and students in Political Science. Methodologically, we use basic simulation to illustrate the underlying logic of cluster analysis and we replicate data from Coppedge, Alvarez and Maldonado (2008)?[1]?to classify political regimes according to Dahl’s (1971)?[2]?polyarchy dimensions: contestation and inclusiveness. With this paper, we hope to help novice scholars to understand and employ cluster analysis in Political Science empirical research.展开更多
This paper analyses core elements of political culture in post-Soviet Eurasia in the two decades between 1991 and 2010. It compares political transformations in transition countries along the continuum between authori...This paper analyses core elements of political culture in post-Soviet Eurasia in the two decades between 1991 and 2010. It compares political transformations in transition countries along the continuum between authoritarian and democratic regimes in the years since the collapse of the Soviet Union in December 1991. It provides a general overview of findings on political support across certain post-communist nations by ordering them from most basic to more specific form of support. The broadest base of support is support for the political community, the next considered level is support for the democratic regime. The last two more specific levels are confidence in parliaments and confidence is expressed for political parties. Post-Soviet countries considered in the paper are Russia, Ukraine, Belarus, Armenia, Azerbaijan, Moldova and Georgia. WVS 1995, 2005 and EVS 2000, 2008 surveys are used as empirical basis of the analysis.展开更多
文摘This paper provides an intuitive introduction to cluster analysis. Our targeting audience are both scholars and students in Political Science. Methodologically, we use basic simulation to illustrate the underlying logic of cluster analysis and we replicate data from Coppedge, Alvarez and Maldonado (2008)?[1]?to classify political regimes according to Dahl’s (1971)?[2]?polyarchy dimensions: contestation and inclusiveness. With this paper, we hope to help novice scholars to understand and employ cluster analysis in Political Science empirical research.
文摘This paper analyses core elements of political culture in post-Soviet Eurasia in the two decades between 1991 and 2010. It compares political transformations in transition countries along the continuum between authoritarian and democratic regimes in the years since the collapse of the Soviet Union in December 1991. It provides a general overview of findings on political support across certain post-communist nations by ordering them from most basic to more specific form of support. The broadest base of support is support for the political community, the next considered level is support for the democratic regime. The last two more specific levels are confidence in parliaments and confidence is expressed for political parties. Post-Soviet countries considered in the paper are Russia, Ukraine, Belarus, Armenia, Azerbaijan, Moldova and Georgia. WVS 1995, 2005 and EVS 2000, 2008 surveys are used as empirical basis of the analysis.
