Whose Wishes and Feelings? Children's Autonomy and Parental Influence in Family Court Enquiries

The importance of the child’s right to be heard and fortheir wishes and feelings to be taken notice of is now acceptedacross a broad professional and research terrain. Increasingly,children are being treated as active participants in the processesand decisions that affect them. In cases of divorce and separation,especially where parental relationships are conflicted, theaccepted wisdom in the UK for many years has been for childrento be protected rather than empowered. More recently, practitioners,policy makers and researchers have looked for ways to involvechildren, although the ‘welfare’ of the child hasremained paramount. In this context, the question of how toensure that wishes and feelings expressed are those that authenticallybelong to the child, rather than to their parent, sibling orother, has achieved a new significance. This article presentsfindings from recent research to illustrate how the tensionbetween protection and empowerment is being played out in thisaspect of welfare report enquiries carried out by CAFCASS (Childrenand Family Court Advisory and Support Service) private law practitioners.     

Measuring Love: Sexual Minority Male Youths' Ideal Romantic Characteristics

Research examining how sexual minorities characterize love within same-sex relationships is scarce. In this study, we examined the validity of Sternberg's Triangular Theory of Love in a sample of sexual minority male youth (N = 447). To test the adequacy of the theory for our population, we examined the psychometric properties of the Triadic Love Scale (TLS) and tested whether the three underlying constructs of the theory (Intimacy, Passion, and Commitment) emerged when participants were asked to consider their ideal relationship with another man. Using confirmatory factor analysis (CFA), we found support for the three-factor solution to characterize sexual minority male youths' ideal romantic relationship, after minimizing item cross-loadings and adapting the content of the Passion subscale. We discuss the implications of our findings regarding the measurement of the TLS among sexual minority male youth and propose ways to enhance its measurement in future research.     

Reducing Surgical Ward Congestion Through Improved Surgical Scheduling and Uncapacitated Simulation

High surgical bed occupancy levels often result in heightened staff stress, frequent surgical cancellations, and long surgical wait times. This congestion is in part attributable to surgical scheduling practices, which often focus on the efficient use of operating rooms but ignore resulting downstream bed utilization. This paper describes a transparent and portable approach to improve scheduling practices, which combines a Monte Carlo simulation model and a mixed integer programming (MIP) model. For a specified surgical schedule, the simulation samples from historical case records and predicts bed requirements assuming no resource constraints. The MIP model complements the simulation model by scheduling both surgeon blocks and patient types to reduce peak bed occupancies. Scheduling guidelines were developed from the optimized schedules to provide surgical planners with a simple and implementable alternative to the MIP model. This approach has been tested and delivered to planners in a health authority in British Columbia, Canada. The models have been used to propose new surgical schedules and to evaluate the impact of proposed system changes on ward congestion.     

The topology of collective leadership

Over the past decade, there has been a surge of both theoretical and empirical research to explore the possibilities of shared leadership, a reorientation of leadership away from understanding the actions and interactions of “leaders” to understanding the emergent, informal, and dynamic “leadership” brought about by the members of the collective itself. Naturally, this focus on topology (or structural patterning) has prompted researchers to leverage the advancements in network analytic methodology to understand this paradigm of leadership. Despite the recognition of the unique advantage of studying collective leadership using network analysis, there has been a translational gap. The current paper aims to fill this gap, bridging the core ideas that epitomize collective leadership to the social network metrics and analytics needed to fully understand its antecedents and consequences.     

Regression Tolerance Intervals

In this article, we discuss the utility of tolerance intervals for various regression models. We begin with a discussion of tolerance intervals for linear and nonlinear regression models. We then introduce a novel method for constructing nonparametric regression tolerance intervals by extending the well-established procedure for univariate data. Simulation results and application to real datasets are presented to help visualize regression tolerance intervals and to demonstrate that the methods we discuss have coverage probabilities very close to the specified nominal confidence level.