Participative leadership and hierarchical structures in multiple perpetrator rape: replicating and extending a scale of influence among offenders

ABSTRACT

This paper replicates and extends Porter and Alison’s (2001. A partially ordered scale of influence in violent group behavior: An example from gang rape. Small Group Research, 32(4), 475–497) method of leader identification in Multiple Perpetrator Rape (MPR). The study examined 216 MPR offences (totalling 712 different offenders), collected from archival sources (predominantly law reports). Porter and Alison’s original coding scheme was refined and Multidimensional Scaling identified a partially ordered scale of influence based upon the decisions, actions and orders made by the offenders at each chronological offence stage. The updated scale identified leaders in 97% of the sample groups. The hierarchical structures of the groups were also examined through the distribution of influence among co-offenders. While the majority (68%) of cases exhibited a dichotomous leader/follower structure, some “followers” also exhibited influence tactics to varying degrees with the presence of “lieutenants” and linear hierarchies. The findings are discussed in relation to group dynamics as well as the reliability and validity of the influence scale.     

Toulmin's philosophy of argument and its relevance to offender profiling

This study sought to identify the extent to which claims about the probable characteristics of offenders in ‘offender profiles’ were based on substantive arguments. Because Toulmin's (1958) philosophy of argument has been demonstrated as a useful way of breaking down arguments into their constituent parts (Burleson, 1979) we examined the extent to which profiles contained grounds, warrants, backing and rebuttals to support or refute various claims about offenders. Twenty-one profiles, representing a range of ‘profiling styles’, were obtained from a variety of sources. All of these had been used in major criminal investigations either in the UK or internationally. Of the nearly 4,000 claims made, nearly 80% were unsubstantiated. That is, they contained no grounds, warrant, backing or rebuttal. Moreover, less than 31% of the claims were falsifiable. We argue that (a) this demonstrates the need for a careful, systematic evaluation of profiling advice (b) Toulmin's structure is one useful method for evaluating such material and for providing a possible framework for such advice.     

Sequential angulation,spatial dispersion and consistency of distance attack patterns from home in serial murder,rape and burglary

Abstract

Three related measures of spatial movement (sequential angulation, spatial dispersion and consistency of distance in attack target) were compared across three serial offence types: serial homicide (n=35), serial rape (n=41) and serial burglary (n=30). In each case, each offender had committed at least five offences. “Spatial dispersion”, defined as the extent to which an offender distributes his offences across either a focused or relatively more evenly distributed area, revealed that burglary was less evenly distributed (i.e. more focused) than rape and murder. “Sequential angulation”, defined as the degree of rotational movement around the home of the offender from one offence to the next, revealed that serial murderers have higher angulation scores than do rapists who, in turn, have higher angulation scores than burglars. Lastly, a comparison of the offender's consistency in the relative distance travelled from home to each attack site (“consistency of distance in attack target”) was relatively similar across the three groups. This was despite the comparison of different serial offence types from disparate geographical areas. The supposition that differences in dispersion and sequential angulation scores across crime types are related to the perceived risk of the crime has been confirmed. The specificity and the mobility of the targets are also discussed.     

The effect of attending full‐day kindergarten on English learner students

A significant and growing English learner (EL) population attends public schools in the United States. Evidence suggests they are at a disadvantage when entering school and their achievement lags behind non‐EL students. Some educators have promoted full‐day kindergarten programs as especially helpful for EL students. We take advantage of the large EL population and variation in full‐day kindergarten implementation in the Los Angeles Unified School District to examine the impact of full‐day kindergarten on academic achievement, retention, and English language fluency using difference‐in‐differences models. We do not find signficant effects of full‐day kindergarten on most academic outcomes and English fluency through second grade. However, we find that EL students attending full‐day kindergarten were 5 percentage points less likely to be retained before second grade and there are differential effects for several outcomes by student and school characteristics. © 2011 by the Association for Public Policy Analysis and Management.     

Facing the challenges of research‐informed knowledge mobilization: ‘Practising what we preach’?

The political imperative to make public services more evidence based has contributed to the growth in the past two decades of both research and practice in the field of knowledge mobilization: the range of approaches to encourage the creation, sharing and use of research‐informed knowledge alongside other forms of knowledge. Paradoxically the growth of the field has made the challenge of encouraging research use much more complex and uncertain, and the roles of knowledge mobilizers much more diverse and demanding. This in‐depth interview study of knowledge mobilization in 51 agencies concerned with knowledge for public services breaks new ground in exploring a paradox at the heart of knowledge mobilization practice: the challenges that research agencies face in practising in research‐informed ways themselves.     

Using Crowd-Sourced Data to Study Public Services: Lessons from Urban India

As cities throughout the developing world grow, they often expand more quickly than the infrastructure and service delivery networks that provide residents with basic necessities such as water and public safety. Why do some cities deliver more effective infrastructure and services in the face of rapid growth than others? Why do some households and communities secure better services than others? Answering these questions requires studying the large, politicized bureaucracies charged with providing urban services, especially the relationships between frontline workers, agency managers, and citizens in informal settlements. Researchers investigating public service delivery in cities of the Global South, however, have faced acute data scarcity when addressing these themes. The recent emergence of crowd-sourced data offers researchers new means of addressing such questions. In this paper, we draw on our own research on the politics of urban water delivery in India to highlight new types of analysis that are possible using crowd-sourced data and propose solutions to common pitfalls associated with analyzing it. These insights should be of use for researchers working on a broad range of topics in comparative politics where crowd-sourced data could provide leverage, such as protest politics, conflict processes, public opinion, and law and order.