Political astuteness, including awareness, knowledge, and involvement, is necessary if nurses are to engage in policy advocacy-a vital aspect of the nursing profession. However, little is known about the effects of learning activities, such as legislative days, on political astuteness. The purpose of this research was to determine if political astuteness changed after participants attended a st...

In most parliamentary democracies, proportional representation electoral rules mean that no single party controls a majority of seats in the legislature. This in turn means that the formation of majority legislative coalitions in such settings is of critical political importance. Conventional approaches to modeling the formation of such legislative coalitions typically make the "common knowledg...

The examination of legislatures as social networks represents a growing area of legislative scholarship. We examine existing treatments of cosponsorship data as constituting legislative networks, with measures aggregated over entire legislative sessions. We point out ways in which the adoption of models from the social networks literature directly to legislative networks aggregated over entire ...

We examine the relationship between state legislative representation and public finances. Baker v. Carr and subsequent court cases led to the equalization of population in U.S. state legislative districts. Analysis of state transfers to counties finds strong evidence that the equalization of legislative representation had a large effect on the distribution of state money. First, crosssectional ...

In this study, we analyze the process of collaborative problem solving from the viewpoint of thinking styles. Thinking styles are defined as a preferred way of thinking; here, we focused on three styles: Legislative, Executive, and Judicial. In this study, we created groups whose members displayed different thinking styles, and asked the groups to solve a creative task collaboratively. If think...

Organizing legislative texts into a hierarchy of legal topics enhances the access to legislation. Manually placing every part of new legislative texts in the correct place of the hierarchy, however, is expensive and slow, and therefore naturally calls for automation. In this paper, we assess the ability of machine learning methods to develop a model that automatically classifies legislative tex...