Theory,practice and use of self in the open dialogues approach to family therapy: A simple complexity or a complex simplicity?

In the family therapy literature there is increasing interest in the dialogical approach, particularly as it becomes well‐grounded in psychotherapy research. One embodiment is ‘open dialogues’, which has developed over a 30‐year period in Western Lapland, Finland. This paper outlines my experience of visiting Keropudas Hospital in Tornio, Finland, the birthplace of open dialogues. It explores the seven theoretical principles of open dialogues, associated elements of clinical practice, and the therapist use of self. The author utilises these aspects to reflect on dialogical moments through words and images based on three conceptual themes, which illustrate the relevance of open dialogues for family therapy practitioners and their contexts.     

An Overview of and Rationale for Changes Proposed for Pathological Gambling in DSM-5

The fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) is scheduled for publication in 2013. It will include several changes to the diagnosis of pathological gambling: the name of the disorder will be altered, the threshold for diagnosis will decrease, and one criterion will be removed. This paper reviews the rationale for these changes and addresses how they may impact diagnosis and treatment of the disorder, as well as potential for future research in the field.     

Predictors of employment among sheltered homeless women

The effect of homelessness on the psychological and physical health of women is damaging and long lasting. Understanding of the personal factors that enable homeless women to secure employment and re-enter mainstream society is of utmost importance. A sample of homeless women residing in a US Midwestern nonprofit treatment and transitional living shelter for homeless women and their children were surveyed regarding the extent to which life satisfaction, social self-efficacy, and hopeful thinking predicted women's expected capabilities to obtain employment above and beyond social support provisions, while controlling for participants' age, ethnicity, and education level. Findings failed to reveal that social psychological (i.e., life satisfaction and social self-efficacy) and intrapersonal (i.e., hope) variables predicted homeless women's job procurement self-efficacy above and beyond perceived social support. The social support provision of social integration and younger age significantly predicted women's self-efficacy to secure employment. Implications of results for social justice initiatives and interventions are discussed.     

Exploring the intersection of transnationalism and critical race theory: a critical race analysis of international student experiences in the United States

International student mobility to the United States (US) has increased over the past two decades. Despite the increase in numbers, international students may experience racism, nativism, and other forms of discrimination within the US context. Much of the existing literature focus on how international students can assimilate and cope with these issues rather than interrogating the systems of oppression that create negative student experiences. Thus, we utilized critical race theory (CRT) as a framework for interrogating how international student experiences are portrayed in current literature. Although CRT is grounded in US-based legal theory, we argue that CRT must move beyond the rigid confinement within US borders and expand to consider how transnationalism and global exchange contributes to the fluidity and applicability of this theory. We also provide recommendations for critical race praxis, with an emphasis on implications for practice, theory, and future research.     

Integrating Behavioral Science with Human Factors to Address Process Safety

ABSTRACT

Applying the science of human factors to eliminate error across all aspects of process design, management, operation, and maintenance has been a focus in the process safety area for many years. Human error has been attributed as a major cause of many high profile catastrophic accidents around the world. These accidents have resulted in national and international attention, which has led to a focus on improving organizational capabilities, systems, and in many cases, governmental regulations around human factors. This article provides a review of the field of human factors highlighting various topics in the literature, and introduces governmental regulatory bodies currently engaging organizations in a scientific approach to human factors. Finally, the need for integrating behavioral science methodologies with human factors is addressed. This is done with specific focus on how Organizational Behavior Management methodologies can work in concert with human factors to optimize process safety.     

A heuristic for the time constrained asymmetric linear sum assignment problem

The linear sum assignment problem is a fundamental combinatorial optimisation problem and can be broadly defined as: given an \(n \times m, m \ge n\) benefit matrix \(B = (b_{ij})\), matching each row to a different column so that the sum of entries at the row-column intersections is maximised. This paper describes the application of a new fast heuristic algorithm, Asymmetric Greedy Search, to the asymmetric version (\(n \ne m\)) of the linear sum assignment problem. Extensive computational experiments, using a range of model graphs demonstrate the effectiveness of the algorithm. The heuristic was also incorporated within an algorithm for the non-sequential protein structure matching problem where non-sequential alignment between two proteins, normally of different numbers of amino acids, needs to be maximised.     

On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses

Statistical experiments, more commonly referred to as Monte Carlo or simulation studies, are used to study the behavior of statistical methods and measures under controlled situations. Whereas recent computing and methodological advances have permitted increased efficiency in the simulation process, known as variance reduction, such experiments remain limited by their finite nature and hence are subject to uncertainty; when a simulation is run more than once, different results are obtained. However, virtually no emphasis has been placed on reporting the uncertainty, referred to here as Monte Carlo error, associated with simulation results in the published literature, or on justifying the number of replications used. These deserve broader consideration. Here we present a series of simple and practical methods for estimating Monte Carlo error as well as determining the number of replications required to achieve a desired level of accuracy. The issues and methods are demonstrated with two simple examples, one evaluating operating characteristics of the maximum likelihood estimator for the parameters in logistic regression and the other in the context of using the bootstrap to obtain 95% confidence intervals. The results suggest that in many settings, Monte Carlo error may be more substantial than traditionally thought.