Putting More Public in Policy Analysis

A persistent criticism of policy analysis is that it undermines basic democratic institutions and processes by replacing public participation with expert analysis. Many decision makers shun broader participation because of the complexity of an issue or the cost, uncertainty, and delay often associated with public involvement. This article presents a model for the systematic inclusion of public input into relatively complex public policy decisions. It outlines two determinants of success in public participation efforts: the purpose for public involvement and the nature of the issue; furthermore, it applies the model to two issues in recent Utah history that have involved public participation. Using these principles, decision makers should be able to design and implement public participation strategies that both inform the public about substantive policy questions and improve the quality of the final decision.     

Active living as an institutional challenge: lessons from the Robert Wood Johnson Foundation's "Celebrate Fitness" program

Native American youth suffer disproportionately from a range of adverse health conditions. Empowering youth leaders to work on community-based solutions has proved effective in reducing tobacco use and gun violence and is now emerging as a promising approach to improving fitness and health. This article, based on direct observation and interviews with key informants, examines the implementation of a Robert Wood Johnson Foundation-funded project that gave tribal youth councils minigrants to design and run diverse projects that encourage physical activity in their communities. The article highlights the institutional challenges that confront health-promotion strategies for disadvantaged populations. Unless they take proper account of organizational, political, environmental, and cultural forces, funders' interventions have limited chances for success and sustainability.     

Entrenched Postseparation Parenting Disputes: The Role of Interparental Hatred?

There is an emerging view that the term “high conflict” oversimplifies the nature of destructive family dynamics, especially with respect to the small but resource‐intensive group of separated parents who remain deeply enmeshed in legal battles and parental acrimony. In this Article we propose that interparental hatred may be a key relationship dynamic driving the behavior of some in this group. We suggest a distinction between two types of interparental hatred: one that arises from responses to separation‐related stresses (reactive hatred) and the other (entrenched hatred) that is indicative of more embedded, dysfunctional interpersonal dynamics and/or personality structures. While reactive hatred is typically time limited and amenable to professional intervention, entrenched hatred tends to overwhelm rationally informed attempts to mediate, negotiate, or even adhere to orders regarding suitable parenting arrangements. We contend that while effective intervention in these cases requires all the generic skills and responses necessary for dealing with highly conflicted disputes, it is also important to name and appropriately challenge interparental hatred when it is detected.     

Reciprocal Relationships between Trajectories of Depressive Symptoms and Screen Media Use during Adolescence

Adolescents are constantly connected with each other and the digital landscape through a myriad of screen media devices. Unprecedented access to the wider world and hence a variety of activities, particularly since the introduction of mobile technology, has given rise to questions regarding the impact of this changing media environment on the mental health of young people. Depressive symptoms are one of the most common disabling health issues in adolescence and although research has examined associations between screen use and symptoms of depression, longitudinal investigations are rare and fewer still consider trajectories of change in symptoms. Given the plethora of devices and normalisation of their use, understanding potential longitudinal associations with mental health is crucial. A sample of 1,749 (47% female) adolescents (10–17 years) participated in six waves of data collection over two years. Symptoms of depression, time spent on screens, and on separate screen activities (social networking, gaming, web browsing, TV/passive) were self-reported. Latent growth curve modelling revealed three trajectories of depressive symptoms (low-stable, high-decreasing, and low-increasing) and there were important differences across these groups on screen use. Some small, positive associations were evident between depressive symptoms and later screen use, and between screen use and later depressive symptoms. However, a Random Intercept Cross Lagged Panel Model revealed no consistent support for a longitudinal association. The study highlights the importance of considering differential trajectories of depressive symptoms and specific forms of screen activity to understand these relationships.     

Experimental criminology: looking back and forward on the 20th anniversary of the Academy of Experimental Criminology

Journal of Experimental Criminology - This article summarizes key points made in a panel at the American Society of Criminology (ASC) meeting in Atlanta in November 2018, entitled “20th...     

The Search for Comparability: Response to Binder

Lawrence S. Rothenberg Department of Political Science, University of Rochester, Rochester, NY 14627 e-mail: lrot{at}mail.rochester.edu (corresponding author) Binder (n.d., Taking the measure of Congress: Reply to Chiouand Rothenberg. Political Analysis. Forthcoming) highlightsareas of agreement and disagreement with our discussion of preferencemeasurement and legislative gridlock. We now both agree thatW-NOMINATE scores—employed in Binder (1999, The dynamicsof legislative gridlock. American Political Science Review 9:519–33)to measure key independent variables, including bicameral differences—shouldnot be used when examining multichamber legislatures over time.We continue to disagree over whether Common Space scores orBinder's conference vote measure is superior. In this response,we show that, although several of the theoretical and statisticalobjections that Binder (n.d.) raises to our Common Space measuredo not apply, they are all relevant for her conference voteanalog. Additionally, we detail how, despite protests to thecontrary, the conference vote measure is plagued by insufficientdata. Finally, we demonstrate how new efforts to show that Binder's (1999)results continue to hold are not robust.     

Poetry Beyond Good and Evil: Bilhaṇa and the Tradition of Patron-centered Court Epic

The eleventh century poet Bilhaṇa’s magnum opus, his Vikramāṅkadevacarita, quickly became one of the most admired and quoted examplars of a newly emergent genre in second millennium Sanskrit poetry, the patron-centered court epic—an extended verse composition dedicated to relating the deeds and celebrating the virtues of the pet’s own patron. But Bilhaṇa’s verse biography of his patron, the Cālukya monarch Vikramāditya VI, while ostensibly singing his praises, is colored throughout by darker suggestions that Vikramāditya may be less than the moral paragon it proclaims him to be, and that the power of poetry lies precisely in its ability to fabricate royal virtue where none exists, and to wash clean the reputation of any king, regardless of his actual deeds. He makes these insinuatons through a variety of formal and narrative techniques, most strikingly by his persistent suggestions that Vikramāditya has perhaps less in common with Rāma, the archetypal paragon of royal virtue, than with his demonic antagonist Rāvaṇa, and, even more corrosively, that Rāma’s own reputation may owe more to his panegyrist’s skill than to his own virtue.     

Validation of Tool Mark Comparisons Obtained Using a Quantitative,Comparative, Statistical Algorithm

Abstract: A statistical analysis and computational algorithm for comparing pairs of tool marks via profilometry data is described. Empirical validation of the method is established through experiments based on tool marks made at selected fixed angles from 50 sequentially manufactured screwdriver tips. Results obtained from three different comparison scenarios are presented and are in agreement with experiential knowledge possessed by practicing examiners. Further comparisons between scores produced by the algorithm and visual assessments of the same tool mark pairs by professional tool mark examiners in a blind study in general show good agreement between the algorithm and human experts. In specific instances where the algorithm had difficulty in assessing a particular comparison pair, results obtained during the collaborative study with professional examiners suggest ways in which algorithm performance may be improved. It is concluded that the addition of contextual information when inputting data into the algorithm should result in better performance.