Quantifying the Accuracy of Forensic Examiners in the Absence of a “Gold Standard”

This study asked whether latent class modeling methods and multiple ratings of the same cases might permit quantification of the accuracy of forensic assessments. Five evaluators examined 156 redacted court reports concerning criminal defendants who had undergone hospitalization for evaluation or restoration of their adjudicative competence. Evaluators rated each defendant’s Dusky-defined competence to stand trial on a five-point scale as well as each defendant’s understanding of, appreciation of, and reasoning about criminal proceedings. Having multiple ratings per defendant made it possible to estimate accuracy parameters using maximum likelihood and Bayesian approaches, despite the absence of any “gold standard” for the defendants’ true competence status. Evaluators appeared to be very accurate, though this finding should be viewed with caution.     

Legal regulation of the drug khat in Australia

The plant Catha edulis, known more commonly as khat, has been consumed for centuries for its stimulatory effects, especially by people living in East Africa. As people from Somalia, Ethiopia and other East African countries have migrated to Australia, they have brought with them the practice of chewing khat. This article examines the claims made about the effects of khat on health and wellbeing and explores the approaches to the regulation of khat in Australia and overseas. The article concludes with a discussion of some of the concerns associated with current regulatory approaches and makes some suggestions for reform.     

Using local longitudinal records to estimate transient and resident homeless populations

Abstract

Many local agencies that provide services to the homeless have only limited data and resources to estimate the extent of need or the size of the local population at risk of requiring the services they provide. Methods exist, however, that are capable of providing reasonable estimates of underlying service populations with minimal record keeping. In this paper one group of such models, first‐capture models, is discussed as a resource‐efficient technique for estimating the underlying population consistently at risk ("residents") and those occasionally at risk ("transients") of requiring agency services.     

Mapping Urban Revitalization: Using GIS Spatial Analysis to Evaluate a New Housing Policy

This longitudinal, multimethod study uses geographical information system (GIS) software to evaluate the community-wide impact of a neighborhood revitalization project. Unsystematic visual examination and analysis of GIS maps are offered as a complementary tool to quantitative analysis and one that is much more compelling, meaningful, and effective in presentation to community and nonscientific professional audiences. The centerpiece of the intervention was the development of a new, middle-class housing subdivision in an area that was declining physically and economically. This represents three major urban/housing policy directions: (1) the emphasis on home ownership for working-class families, (2) the deconcentration of poverty through development of mixed-income neighborhoods, and (3) the clean up and redevelopment of contaminated, former industrial brownfields. Resident survey responses, objective environmental assessment observations, and building permit data were collected, geocoded at the address level, and aggregated to the block level on 60 street blocks in the older neighborhoods surrounding the new housing in two waves: during site clearing and housing construction (Time 1: 1993–95) and three years post-completion (Time 2: 1998–99). Variables mapped include (a) Time 1–2 change in self-reported home repairs and improvements, (b) change in the assessed physical condition of yards and exteriors of 925 individual residential properties, (c) change in residents' home pride, and (d) a city archive of building permits at Time 2. Physical conditions improved overall in the neighborhood, but spatial analysis of the maps suggest that the spillover effects, if any, of the new housing were geographically limited and included unintended negative psychological consequences. Results argue for greater use of GIS and the street block level in community research and of psychological and behavioral variables in planning research and decisions.     

The Better Angels of Our Nature: How the Antiprejudice Norm Affects Policy and Party Preferences in Great Britain and Germany

Existing research on public opinion related to race and immigration politics emphasizes the role of prejudice or bias against minority groups. We argue that the social norm against prejudice, and individual motivations to comply with it, are crucial elements omitted from prior analyses. In contemporary Western societies, most citizens receive strong signals that prejudice is not normatively acceptable. We demonstrate that many majority‐group individuals have internalized a motivation to control prejudiced thoughts and actions and that this motivation influences their political behavior in predictable ways. We introduce measures capturing this motivation, develop hypotheses about its influence, and test these hypotheses in three separate experimental and nonexperimental survey studies conducted in Britain and Germany. Our findings support a dual‐process model of political behavior suggesting that while many voters harbor negative stereotypes, they also—particularly when certain contextual signals are present—strive to act in accordance with the “better angels of their natures.”     

Political Homophily and Collaboration in Regional Planning Networks

We study the extent of political homophily—the tendency to form connections with others who are politically similar—in local governments’ decisions to participate in an important form of intergovernmental collaboration: regional planning networks. Using data from a recent survey of California planners and government officials, we develop and test hypotheses about the factors that lead local governments to collaborate within regional planning networks. We find that local governments whose constituents are similar politically, in terms of partisanship and voting behavior, are more likely to collaborate with one another in regional planning efforts than those whose constituents are politically diverse. We conclude that political homophily reduces the transaction costs associated with institutional collective action, even in settings where we expect political considerations to be minimal.