Organizational Compatibility and Workplace Drug Testing: Modeling the Adoption of Innovative Social Control Practices

Few researchers have examined organizational variation in the adoption of workplace drug testing, but innovation theory suggests that adoption is more likely when it is compatible with an organization's values, previously introduced ideas, and needs. Using data from the 1997 National Employee Survey, this research models the effects of organizational compatibility, industry, and establishment size on the adoption of drug testing. The data reveal that compatibility, as measured by an organization's rules orientation, presence of an employee assistance program, and mechanization, is associated with the adoption of drug testing. As predicted, the adoption of drug testing varies across industries and by establishment size.     

Consistencies and Inconsistencies: Mental Health, Compulsory Treatment and Community Capacity Building in England, Wales and Australia

In relation to mental health, it is clear that medicalized underpinnings,the provision of a clinically orientated evidence base for practiceand the need to contain ‘risk’ continue to be prioritized,particularly when compulsory intervention is considered. Thisis despite the increasing influence of a citizenship and socialjustice agenda which is being promoted by psychiatrists involvedin the development of ‘postpsychiatry’, as wellas by service users/survivors. These drivers are not mutuallyexclusive, but in the context of compulsory treatment, thereare clear tensions. In this article, the policy surroundingmental health and compulsory intervention in Australia and inEngland and Wales is explored. In the context of this discussion,three ways in which current government policy can be interpretedare examined and links made between these interpretations anddifferent ways of viewing the relationship between mental healthand community capacity building. With regard to social workpractice, it is argued that a response to mental ill healthwhich concentrates on an individualized ‘diagnose andtreat’ approach, which particularly comes to the foreat times of compulsory intervention, has limited capacity tofacilitate community engagement, foster social inclusion andgenerate reciprocal dynamics between positive mental healthand community capacity building.     

Statistical consulting

The paper and the special issue focus on the activity of statistical consulting and its varieties. This includes academic consulting, consulting to and in industry as well as statistics in public media.     

Asthma Patients' Activities and Air Pollution: A Semiparametric Censored Regression Analysis

Asthma patients' health status may be especially sensitive to some types of air pollution, but the evidence on this is mixed. We explore the effects of ground-level ozone on asthma patient's activities, breaking apart the usual aggregated category of leisure into indoor and outdoor activities, and differentiating those by whether the activities were active or inactive. Applying the semiparametric censored estimation method we demonstrate that even though the period over which activities were observed was relatively low in ozone levels, there is a significant impact of ozone on a few activities. The (non-ozone) economic and demographic variables in the model play significant roles in explaining the allocation of time among seven activities, suggesting the suitability of the approach for other household decision-making contexts.     

Bayesian locally optimal design of knockout tournaments

The elimination or knockout format is one of the most common designs for pairing competitors in tournaments and leagues. In each round of a knockout tournament, the losers are eliminated while the winners advance to the next round. Typically, the goal of such a design is to identify the overall best player. Using a common probability model for expressing relative player strengths, we develop an adaptive approach to pairing players each round in which the probability that the best player advances to the next round is maximized. We evaluate our method using simulated game outcomes under several data-generating mechanisms, and compare it to random pairings, to the standard knockout format, and to two variants of the standard format.     

Educating for Social Justice: Making sense of multicultural and antiracist theory and practice with Canadian teacher activists 1

This paper presents an argument for further engagement between educational scholars and school-based social justice activists. An analysis of one segment of the broad field of social justice education focuses on multicultural and antiracist education, particularly as they are understood in the Canadian socio-political context. A brief overview of the literature from UK and US sources highlights their complex and often overlapping concerns, and the need for more dialogue across national boundaries toward progressive social change. Excerpts from in-depth interviews with four Canadian teacher-activists reveal the potential for educators to take up various debates and findings from the academic literature in their daily struggles to work for social justice.     

Some results on optimality in models with heteroscedastic errors from partial optimum designs

This paper studies optimum designs for linear models when the errors are heteroscedastic. Sufficient conditions are given in order to obtainD-, A- andE-optimum designs for a complete regression model from partial optimum designs for some sub-parameters. A result about optimality for a complete model from the optimality for the submodels is included. Supported by Junta de Andalucía, research group FQM244.