Using Bayesian Aldrich‐McKelvey Scaling to Study Citizens' Ideological Preferences and Perceptions

Aldrich‐McKelvey scaling is a powerful method that corrects for differential‐item functioning (DIF) in estimating the positions of political stimuli (e.g., parties and candidates) and survey respondents along a latent policy dimension from issue scale data. DIF arises when respondents interpret issue scales (e.g., the standard liberal‐conservative scale) differently and distort their placements of the stimuli and themselves. We develop a Bayesian implementation of the classical maximum likelihood Aldrich‐McKelvey scaling method that overcomes some important shortcomings in the classical procedure. We then apply this method to study citizens' ideological preferences and perceptions using data from the 2004–2012 American National Election Studies and the 2010 Cooperative Congressional Election Study. Our findings indicate that DIF biases self‐placements on the liberal‐conservative scale in a way that understates the extent of polarization in the contemporary American electorate and that citizens have remarkably accurate perceptions of the ideological positions of senators and Senate candidates.     

Administering a victim impact curriculum to inmates: a multi-site replication

While restorative justice has been the topic of much research, a specific type of program included in restorative justice, Impact of Crime (IOC) on Victims programs, has not been widely studied or assessed for effectiveness. This study examines IOC on Victims Curriculum Development Programs. Offenders from programs in California, Ohio, Tennessee, and Virginia were participants in this research. A four-state evaluation methodology was developed in order to assess the effectiveness of these programs in educating offenders about victims’ right and victim facts, as well as increasing their sensitivity to victims’ difficulties. The findings in this evaluation lend support to previous studies, indicating efficacy for IOC programs. Suggestions for future research are briefly discussed.     

Management not models: adaptability,responsiveness, and a few lessons from football

Despite a swathe of critiques of logframes and other blueprint approaches to development over the last 30 years, most aid infrastructure continues to concentrate on the design and subsequent implementation of closed models. This article does not propose an alternative to blueprints, but challenges the inflexibility of their implementation, which is inadequate given the complex nature of social change. It proposes a supplementary management and learning approach which enables implementers to be dynamic, adaptive, and responsive to problems and opportunities. Emphasising the role of donors, the paper presents a case study of one donor-led programme in Bangladesh doing just this.     

Lawyers' Perceptions of the U.S. Supreme Court: Is the Court a “Political” Institution?

Do legal elites—lawyers admitted to federal appellate bars—perceive the Supreme Court as a “political” institution? Legal elites differentiate themselves from the mass public in the amount and sources of information about the Court. They also hold near‐universal perceptions of Court legitimacy, a result we use to derive competing theoretical expectations regarding the impact of ideological disagreement on various Court perceptions. Survey data show that many legal elites perceive the Court as political in its decision making, while a minority perceive the Court as activist and influenced by external political forces. Ideological disagreement with the Court's outputs significantly elevates political perceptions of decision making, while it exhibits a null and moderate impact on perceptions of activism and external political influence, respectively. To justify negative affect derived from ideological disagreement, elites highlight the political aspects of the Court's decision making rather than engage in “global delegitimization” of the institution itself.