An Evaluation of Mechanisms of Change in Multisystemic Therapy for Juvenile Justice‐Involved Youths A Decade Following Treatment

Although researchers have identified the more immediate mechanisms of change in family‐based treatments for juvenile justice‐involved youths, it is not known whether these same mechanisms continue to prevent criminal offending into adulthood. The present study evaluated whether caregiver‐directed improvements in family relations, youth prosocial peer relations, and youth academic performance during multisystemic therapy (MST) for serious and violent juvenile offenders had an impact on young adult involvement in criminal activity and sentencing 10.2 years following treatment. The results showed that improvements in family relations were associated with reduced odds of criminal outcomes a decade later for former MST participants. Furthermore, improvements in youth prosocial peer relations and academic performance were also related to lower odds of long‐term criminal activity. These results are consistent with the underlying theory of change in family‐based treatments and demonstrate that caregivers are critical to achieving and sustaining decreased antisocial behavior for youths with serious and violent criminal histories.     

Integrating risk and performance management in quality management systems for the development of complex bespoke systems (CBSs)

Abstract

Risk and performance management are at the core of complex bespoke systems (CBSs). CBSs are developed to customer–specified requirements in terms of structure, functionality and conformance. This article examines how risk and performance management are integrated as essential systems in the successful development of projects across multi-organizational functions in complex bespoke system (CBS) organizations. The article argues for the development of a quality management system that consists of two sub-processes: quality control and quality development. Using three case studies from engineering companies, we provide evidence and insights of the way change control, quality development and quality performance are developed in innovating business solutions.     

Temperament,Parenting, and Moral Development: Specificity of Behavior and Context

This longitudinal study highlights the role of specific parenting behaviors in specific contexts when predicting moral development in children of varying temperament types. A sample of mother–child dyads took part in a competing demands task involving differing ‘do’ and ‘don't’ contextual demands when the child was 2 years of age. Child temperament was also assessed at this time, yielding inhibited, exuberant, and low‐reactive temperament groups. Children's moral behavior was assessed at 5.5 years of age. Models examining the interaction of temperament and mother behaviors in each context indicated that mother's reasoning/explanation and ignoring in the ‘do’ context predicted later moral behavior in inhibited children whereas redirection and commands in the ‘don't’ context predicted moral behavior in exuberant children.     

Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods

ABSTRACT

The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses cross-validation to select among a ‘library’ of candidate prediction models. While SL has been widely studied in a number of settings, it has not been thoroughly evaluated in large electronic healthcare databases that are common in pharmacoepidemiology and comparative effectiveness research. In this study, we applied and evaluated the performance of SL in its ability to predict the propensity score (PS), the conditional probability of treatment assignment given baseline covariates, using three electronic healthcare databases. We considered a library of algorithms that consisted of both nonparametric and parametric models. We also proposed a novel strategy for prediction modeling that combines SL with the high-dimensional propensity score (hdPS) variable selection algorithm. Predictive performance was assessed using three metrics: the negative log-likelihood, area under the curve (AUC), and time complexity. Results showed that the best individual algorithm, in terms of predictive performance, varied across datasets. The SL was able to adapt to the given dataset and optimize predictive performance relative to any individual learner. Combining the SL with the hdPS was the most consistent prediction method and may be promising for PS estimation and prediction modeling in electronic healthcare databases.     

The Dark Side of the Force: A Case Study of Restructuring and Social Capital1

Abstract This paper uses a case study of a Southern textile community to show how a distinct form of social capital is embedded in local networks of power and domination. Textile firms and communities in the South have undergone restructuring: technology and labor processes have modernized, firms have merged, consolidated, or closed, and the number of workers has declined. An analysis of Cannon Mills and its associated mill community of Kannapolis identifies the sources of the paternalist form of social capital that dominated work and community social relations. Corporate mergers, downsizing, technological change, shifts in the labor market, municipal incorporation, and labor organizing contributed to the transformation and decline of paternalistic social capital. The case study reminds social scientists that social capital is a context dependent form of power that can be created, accumulated, or destroyed. While many current analyses treat social capital as an unquestioned positive force, the case study reveals the dark side of social capital.     

Brazilian Immigration to Ontario

Immigration to Canada from non-traditional donor nations has increased in recent years and is likely to continue to increase in the long-term. This article examines one flow of "new" immigrants: from Brazil to Toronto, Ontario. Their adaptation experiences are analysed from primary data collected from 205 Brazilians interviewed during 1991.
A large proportion of the immigrants who arrived after 1987, the year a visa requirement was initiated for Brazilians, gained entry by claiming to be "refugees". Because of numerous court system delays, this strategy permitted them to work, study and collect social benefits until all their appeals, no matter how spurious, were exhausted. Meantime, many acquired English skills and on-the-job training which enabled them to score high enough on the Canadian immigrant point scale to become legal permanent residents.
Results also demonstrate that immigrants from Brazil are relatively well educated and highly motivated to succeed. Although the group included some target earners who will return to Brazil, many have become well integrated into Canadian society and desire to remain permanently.     

Bridging the work-family policy and productivity gap: A literature review

This paper uses both qualitative and quantitative methods to examine the relationship between work-family conflict and six work outcomes: performance, turnover, absenteeism, organizational commitment, job involvement, and burnout. Also reviewed are studies on the effects of employer (work-family) policies aimed at reducing such conflict. Policies to aid employees in managing work and family roles can be expensive, and studies show that they are often marginally effective. The review shows that relationships between work-family policies and organizational effectiveness is mixed and their connection to work-family conflict often under-examined. Work-family conflict is a critical link that may shed light on policy impacts. Suggestions on how future studies can build bridges between practitioners and academics and more clearly examine organizational effectiveness links are provided.     

Responsive Survey Design,Demographic Data Collection,and Models of Demographic Behavior

To address declining response rates and rising data-collection costs, survey methodologists have devised new techniques for using process data (“paradata”) to address nonresponse by altering the survey design dynamically during data collection. We investigate the substantive consequences of responsive survey design—tools that use paradata to improve the representative qualities of surveys and control costs. By improving representation of reluctant respondents, responsive design can change our understanding of the topic being studied. Using the National Survey of Family Growth Cycle 6, we illustrate how responsive survey design can shape both demographic estimates and models of demographic behaviors based on survey data. By juxtaposing measures from regular and responsive data collection phases, we document how special efforts to interview reluctant respondents may affect demographic estimates. Results demonstrate the potential of responsive survey design to change the quality of demographic research based on survey data.