Do the processes states use to select judges for peak courts influence gender diversity? Scholars have debated whether concentrating appointment power in a single individual or diffusing appointment power across many individuals best promotes gender diversification. Others have claimed that the precise structure of the process matters less than fundamental changes in the process. We clarify these theoretical mechanisms, derive testable implications concerning the appointment of the first woman to a state’s highest court, and then develop a matched-pair research design within a Rosenbaum permutation approach to observational studies. Using a global sample beginning in 1970, we find that constitutional change to the judicial selection process decreases the time until the appointment of the first woman justice. These results reflect claims that point to institutional disruptions as critical drivers of gender diversity on important political posts.

Varieties of Democracy (V-Dem) is a new approach to conceptualization and measurement of democracy. It is co-hosted by the University of Gothenburg and University of Notre Dame. With a V-Dem Institute at University of Gothenburg with almost ten staff, and a project team across the world with four Principal Investigators, fifteen Project Managers (PMs), 30+ Regional Managers, 170 Country Coordinators, Research Assistants, and 2,500 Country Experts, the V-Dem project is one of the largest ever social science research-oriented data collection programs.Please address comments and/or queries for information to: AbstractIncreasing the diversity of political institutions is believed to improve the quality of political discourse and, subsequently, the quality of political outcomes. Moreover, the presence of diverse officials in positions of power signals the openness and fairness of political institutions. These benefits of diversity should be particularly acute in the judiciary, where judges are tasked with the symbolically and substantively powerful duty of interpreting and defending constitutional values. Extant scholarship suggests that well-designed appointment process can promote diversity without explicitly gendered goals, much less quotas. If correct, these proposals raise the possibility of promoting greater diversity without having to resolve politically charged debates about quotas. Yet, scholars disagree about the effects of particular design choices. Worse, estimating causal effects of institutions in observational data is particularly difficult. We develop a research design linked to the empirical implications of existing theoretical arguments to evaluate the effect of institutional change on the gender diversity of peak courts cross-nationally. Specifically, we consider the effect of an increase (or a decrease) in the number of actors involved in the appointment process. We find mixed results for any existing claim about the role of appointment institutions play in increasing diversity. Yet we also find that any institutional change seems to cause an increase in the gender diversity of peak courts. The world's peak courts, by which we refer to high ordinary courts or constitutional courts, are increasingly staffed by women (Hoekstra, 2010;Hoekstra, Kittilson and Bond, 2014;Turquet, 2011). Within the last decade, gender parity or near parity has been reached on the national high courts of Angola, Australia, Canada, Ecuador, Rwanda, Serbia, and Slovenia. Women are increasingly serving as presidents of prestigious courts known internationally for their innovative jurisprudence, including the Supreme Courts of Canada and Israel as well as the Constitutional Chamber of the Costa Rican Supreme Court. This pattern is notable for a number of reasons. The presence of more women on peak courts may influence the law, and by implication, core matters of public policy, either because women understand the law in particular contexts or evaluate facts differently than men (e.g. Boyd, Epstein and Martin, 2010;Glynn and S...

No abstract

While longstanding theories of political behavior argue that voters do not possess sufficient political knowledge to hold their elected representatives accountable, recent revisionist studies challenge this view, arguing that voters can both follow how their representatives vote and use that information intelligently. We apply the revisionist account to the study of Supreme Court nominations in the modern era. Using survey data on the nominations of Clarence Thomas, Sonia Sotomayor, and Elena Kagan, we ask whether voters can and do hold senators accountable for their votes on Supreme Court nominees. While our results for Thomas are ambiguous, we find strong evidence for accountability in the cases of Sotomayor and Kagan. In particular, we show that voters on average can correctly recall the votes of their senators on these nominees, and that correct recall is correlated with higher levels of education and political knowledge. We then show that voters are more likely to both approve of and vote to re-elect their senator if he or she casts a vote on Sotomayor and Kagan that is in line with voters’ preferences. Finally, we show this effect is quite sizable, as it rivals the effect of agreement on other high-profile roll call votes. These results have important implications for both the broader study of representation and for understanding the current politics of Supreme Court nominations.

This chapter explains content analysis, which is a social science research method that involves the systematic analysis of text, media, communication, or information. The source, the message, the receiver, the medium, and the influence of the message are all topics that have been studied using content analysis and in combination with other methods. There are deductive and inductive approaches to content analysis. Two widely cited studies using content analysis take a deductive approach: using predefined categories and variables based on findings and best practices from prior research. Studies taking an inductive approach to content analysis, by contrast, have an open view of the content, usually involve a small-N sample, and are often based on a qualitative approach. Meanwhile, much has been written on methods and approaches to measuring reliability with human coders. Traditional content analysis uses human coders, whereas a variety of software has emerged that can be used to download and score or code vast amounts of textual news data. The chapter then identifies key benefits and challenges associated with new computational social science tools such as text analysis.