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Empirical puzzles get students thinking like political scientists.
A contemporary framework without the fluff, updated through the 2018 elections
Introduction : why study dynamic partisanship? -- Partisanship : meaning and measurement -- Consistent partisanship models -- The United States -- Australia, Canada, and the United Kingdom : the setup -- Australia, Canada, and the United Kingdom : results -- Explaining partisanship dynamics -- Parties and partisanship.
Empirical puzzles get students thinking like political scientists.
This work seeks to clarify why and when interest group leaders in Washigton, USA seek to mobilize the public order to influence policy decisions in Congress. It grants a more important role to the need for interest group leaders to demonstrate popular support on particular issues.
Pradeep Chhibber and Ken Kollman rely on historical data spanning back to the eighteenth century from Canada, Great Britain, India, and the United States to revise our understanding of why a country's party system consists of national or regional parties. They demonstrate that the party systems in these four countries have been shaped by the authority granted to different levels of government. Departing from the conventional focus on social divisions or electoral rules in determining whether a party system will consist of national or regional parties, they argue instead that national party systems emerge when economic and political power resides with the national government. Regional parties...
Examines the histories of the US government, the Catholic Church, General Motors, and the European Union as examples of federated systems that centralized power.
In A Model Discipline, Kevin A. Clarke and David M. Primo turn a critical eye to the methodological approach that dominates modern political science. Clarke and Primo contend that the field's emphasis on model testing has led to a distortion of both the modeling process and the art of data analysis and cannot be logically justified. The authors argue that models should be seen as "objects" and thus regarded as neither true nor false. Models should instead be evaluated for their usefulness for a particular purpose. Divided into two parts, the book first establishes that current practice is not philosophy-free and rests on a number of questionable assumptions. The second part focuses on the different ways that theoretical and statistical models can be useful, and closes with a defensible justification for integrating theoretical and statistical models. A novel work of methodology, A Model Discipline offers a new perspective on long-held assumptions about the way research in the social sciences should be conducted.
The use of innovative computational models in political economic research as a complement to traditional analytical methodologies.
A generation ago, scholars saw interest groups as the single most important element in the American political system. Today, political scientists are more likely to see groups as a marginal influence compared to institutions such as Congress, the presidency, and the judiciary. Frank Baumgartner and Beth Leech show that scholars have veered from one extreme to another not because of changes in the political system, but because of changes in political science. They review hundreds of books and articles about interest groups from the 1940s to today; examine the methodological and conceptual problems that have beset the field; and suggest research strategies to return interest-group studies to a...