Political Data in 1997

European Journal of Political Research -     

Political Data in 1999

European Journal of Political Research -     

Political Data in 1996

European Journal of Political Research -     

Political Data in 1998

European Journal of Political Research -     

Data Analysis and Data Visualization as Active Learning in Political Science

While data analysis and the related skills of data management and data visualization are important skills for undergraduates in the field of political science, the process of learning these skills can also be used to develop critical thinking, encourage active and collaborative learning, and to apply knowledge gained in the classroom. Drawing on our experiences using data work in upper-level courses in International Relations and American Politics, we discuss how data work and quantitative analysis can be incorporated into subject-based (i.e., nonmethods specific) courses, and how it can also enhance critical reasoning skills. An evaluation of this approach using direct and indirect assessment is included.     

Political Marketing Research in the 2000 U.S. Election

Abstract

It is not news that polls and other forms of marketing research are regularly employed to craft political strategy. What is new is that the 2000 U.S. election represented a turning point where political marketing research seems to take center stage. The print and broadcast media employed polls and other forms of research at levels far beyond anything ever seen before. At times, it appeared as if almost as much attention was being given to polls as was being given to the political candidates and the issues. This was clearly a new and important posturing of the role of political marketing research. With this as a backdrop, the current article compares polls and other forms of political research-focusing on what went wrong and what was right in terms of the use of polls, focus groups and Internet research during the 2000 U.S. election. The article ends with the presentation of some exploratory research that examines insights about respondents' opinions regarding the impact of political polls.     

Estimating Dynamic Panel Data Models in Political Science

Panel data are a very valuable resource for finding empiricalsolutions to political science puzzles. Yet numerous publishedstudies in political science that use panel data to estimatemodels with dynamics have failed to take into account importantestimation issues, which calls into question the inferenceswe can make from these analyses. The failure to account explicitlyfor unobserved individual effects in dynamic panel data inducesbias and inconsistency in cross-sectional estimators. The purposeof this paper is to review dynamic panel data estimators thateliminate these problems. I first show how the problems withcross-sectional estimators arise in dynamic models for paneldata. I then show how to correct for these problems using generalizedmethod of moments estimators. Finally, I demonstrate the usefulnessof these methods with replications of analyses in the debateover the dynamics of party identification.     

Political Studies as Narrative and Science, 1880–2000

Today we are often skeptical of the role played by representations of the nation state in constructing and legitimating ways of life and public policies. We portray what once appeared to be neutral, scientific representations of our practices and our heritages as contingent historical objects. How did we become so skeptical? The answer has several parts: developmental historicism dominated the human sciences in the latter half of the nineteenth century; the turn of the century witnessed an epistemic rupture and the rise of a modernist empiricism that came to dominate the social sciences; modernist empiricists reformulated their approach during the latter half of the twentieth century in response to alternative visions of social science; and, finally, the close of the twentieth century also saw the rise of a radical historicism that spread from philosophy and literature to history and even social science. In short, we have become skeptical as we have moved toward a radical historicism that challenges scientism and decenters the grand narratives of yore.     

Tree‐Based Models for Political Science Data

Political scientists often find themselves analyzing data sets with a large number of observations, a large number of variables, or both. Yet, traditional statistical techniques fail to take full advantage of the opportunities inherent in “big data,” as they are too rigid to recover nonlinearities and do not facilitate the easy exploration of interactions in high‐dimensional data sets. In this article, we introduce a family of tree‐based nonparametric techniques that may, in some circumstances, be more appropriate than traditional methods for confronting these data challenges. In particular, tree models are very effective for detecting nonlinearities and interactions, even in data sets with many (potentially irrelevant) covariates. We introduce the basic logic of tree‐based models, provide an overview of the most prominent methods in the literature, and conduct three analyses that illustrate how the methods can be implemented while highlighting both their advantages and limitations.