Integrating the teaching,learning and assessment of communication with children within the qualifying social work curriculum

Qualifying social work education must provide students with a variety of experiential, personalized, participatory, didactic and critically reflective learning opportunities across both the taught curriculum and in practice placements if deep learning of the capabilities needed for effective communication with children and young people is to be ensured. At present, programmes in England are not consistent in the curriculum structures, content and pedagogical approaches they are employing to teach and assess this topic. This paper discusses first how current proposals for the reform of qualifying education in England do not address the ambiguities and discretion in regulatory guidance, which have meant that the place and relevance of this topic within the curriculum remain uncertain and contested. It then draws on a model of the sequencing of students' learning and development in qualifying training, developed through the author's recent empirical research, to present an integrated and coherent approach to the teaching, learning and assessment of this topic. It is proposed that this strategy will enable students to develop the generic, ‘child‐focused’ and ‘applied child‐specialist’ capabilities they need for the ‘knowing’, ‘being’ and ‘doing’ of effective communication with children.     

A Bayesian mixture of experts approach to covariate misclassification

This article considers misclassification of categorical covariates in the context of regression analysis; if unaccounted for, such errors usually result in mis-estimation of model parameters. With the presence of additional covariates, we exploit the fact that explicitly modelling non-differential misclassification with respect to the response leads to a mixture regression representation. Under the framework of mixture of experts, we enable the reclassification probabilities to vary with other covariates, a situation commonly caused by misclassification that is differential on certain covariates and/or by dependence between the misclassified and additional covariates. Using Bayesian inference, the mixture approach combines learning from data with external information on the magnitude of errors when it is available. In addition to proving the theoretical identifiability of the mixture of experts approach, we study the amount of efficiency loss resulting from covariate misclassification and the usefulness of external information in mitigating such loss. The method is applied to adjust for misclassification on self-reported cocaine use in the Longitudinal Studies of HIV-Associated Lung Infections and Complications.     

Compulsory income management: Combatting or compounding the underlying causes of homelessness?

Compulsory Income Management (CIM) is a form of conditional welfare that involves the mandatory quarantining of a portion of welfare recipients’ social security payments. Quarantined funds are accessible via a government-issued debit card, with restrictions surrounding where and on what funds can be spent. Official justifications of CIM have framed these policies as attempts to combat substance abuse and gambling problems, and to thus secure better outcomes for welfare recipients and their families. Central to this narrative has been the argument that welfare quarantining will ensure more money is spent on ‘essentials’, including accommodation. No existing studies, however, have specifically interrogated the impacts of CIM on housing security. This article responds to this gap in the literature by reviewing existing research concerning CIM's impacts and locating this research within broader debates regarding the causes of homelessness and the efficacy of individualised policy interventions. In doing so, it highlights CIM's potential to exacerbate housing insecurity not only through technical issues such as rental transfer failures, but also by contributing to underlying stressors such as economic disadvantage; relationship difficulties, poor health and addiction; and social stigma. The article concludes that – far from addressing the structural causes of homelessness – CIM has enflamed them.     

Glass Cliffs Are Not So Easily Scaled: On the Precariousness of Female CEOs' Positions

Adams, Gupta and Leeth ( British Journal of Management , 2008) question the universality of the glass cliff after finding no differences in US companies' financial performance either before or after the appointment of male and female CEOs. We agree that glass cliffs are neither universal nor ineluctable, but urge caution in interpreting this null result. This is because the nature and significance of women's precarious leadership positions becomes more apparent when one goes beyond archival financial data and compares the broad circumstances of male and female leaders. Here multiple strands of research suggest that above the glass ceiling the playing field for men and women is far from level.     

The enduring allure of charisma: How Barack Obama won the historic 2008 presidential election

We apply charismatic leadership theory to the historic 2008 United States presidential election, in hopes of inspiring dialogue around how leadership theory can inform the critical process of evaluating and electing public leaders. While numerous leadership theories are relevant to understanding the 2008 election, charismatic leadership theory highlights aspects of the leader, followers, and the unfolding economic crisis that are particularly relevant in helping us to understand how a relatively inexperienced political outsider ascended to the US Presidency. Given the potential perils and challenges newly elected President Barack Obama faces in the months and years ahead, we also suggest four core strategies rooted in charismatic leadership theory that may help him capitalize on his early charismatic appeal, as well as avoid the pitfalls of charisma that have plagued some of his predecessors.     

Cognitive skills and leadership performance: The nine critical skills

Over the years, a growing body of evidence indicates that certain cognitive skills are a critical determinant of leader performance. In the present effort we show that application of these skills is typically founded in case-based knowledge. Subsequently, we identify nine key skills people in leadership positions employ when working with case-based knowledge to address leadership problems: 1) problem definition, 2) cause/goal analysis, 3) constraint analysis, 4) planning, 5) forecasting, 6) creative thinking, 7) idea evaluation, 8) wisdom, and 9) sensemaking/visioning. Individual and situational contingencies shaping effective application of these thinking skills is discussed. In addition, the implications of findings bearing on leader thinking skills for leader assessment and leader development are considered.     

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.