Individual perceptions and the social construction of hate crimes: A factorial survey

Although the rapid diffusion of hate crime legislation since the 1980s indicates widespread success of the antiviolence movement at the policy level, effective responses to hate crimes – such as reporting incidents to authorities – are partly contingent on how individuals initially interpret potential incidents. This paper investigates the degree to which individuals’ perceptions of concrete events of harassment and violence mirror the interpretive frameworks offered by proponents of hate crime legislation. Specifically, the study examines the determinants of definitions of hate crime and perceptions of seriousness, focusing on both incident-level and respondent-level variables. Using data from a multilevel factorial survey gathered from a sample of undergraduates, I find a general alignment between the political construction of hate crimes and college student perceptions of incidents of harassment and violence, although sensitivity to hate crimes varies by witness demographic and attitudinal characteristic.     

Methodologic challenges of e-health research

In this article, research-based strategies used in a web-based study to assess the impact of participation in cancer-related mailing lists on cancer survivors and caregivers are highlighted. The paper presents alternative methods of measuring response rates in Internet surveys. Response rate estimation, based on American Association for Public Opinion Research guidelines, ranged between 15% and 24.9% for the study. Several strategies were implemented to increase survey participation and reduce item nonresponse. Few participants opted for a telephone survey as an alternative to a web-administered design (mixed-mode administration). Using time-stamp data to diagnose places in the questionnaire where respondents prematurely exited or broke off survey participation, we were able to decrease premature break offs. A lottery was also implemented to increase response rates. The experience of obtaining institutional review board approval for the lottery is also described. Preliminary data indicate slight increases in response rates subsequent to implementing the lottery.     

Domestic violence in veterans with posttraumatic stress disorder who seek couples therapy

Domestic violence rates among veterans with posttraumatic stress disorder (PTSD) are higher than those of the general population. Individuals who have been diagnosed with PTSD who seek couples therapy with their partners constitute an understudied population. Self-report measures of domestic violence, relationship satisfaction, and intimacy were administered at intake to 179 couples seeking relationship therapy at a Veterans Affairs clinic. Couples in which the veteran was diagnosed with combat-related PTSD were compared with two other groups based on the veteran's primary diagnosis (depression, adjustment disorder/V-code). Both the PTSD- and depression-diagnosed veterans perpetrated more violence than did those with adjustment/V-code diagnoses. Domestic violence rates among depressed and PTSD-diagnosed veterans were much higher than those found in previous research. Implications for assessment and treatment are discussed.     

Factors contributing to low back pain among professional drivers: a review of current literature and possible ergonomic controls

It is suggested that professional drivers are at an increased risk for low back pain and injury due to a variety of factors such as whole body vibration, prolonged sitting, awkward postures, lifting and carrying, and psychosocial issues. Ergonomics can play an important role in the reduction of risk of injury to the professional driver by implementing modifications to the work place (engineering controls), changes in administrative and management practice (administrative controls), and education of the worker (work practice controls). A review of the literature of the etiology of low back pain and injury among professional drivers is presented, and possible ergonomic controls have been recommended.     

The history of non-profit organisations in Australia as a test of some recent non-profit theory

Over the past two decades, a number of important theories of non-profit activity have been developed, mainly by economists. In part, these theories attempt to explain why non-profit organisations are formed and flourish in some fields of activity and not in others. This paper seeks to test the adequacy of these explanations by seeing if they can explain seven cases of the formation of important sets of non-profit organisations in Australia. To this end, it sketches a history of non-profit organisations in Australia over the past 200 years and explores in more detail seven important cases of non-profit formation and development. It finds that, while in most cases the economic theories provide part of an explanation, there is a good deal which they cannot explain. Adequate explanations of non-profit formation will need to draw on social as well as economic theory.     

Becoming a company person.

Physicians face a management challenge in adjusting to being part of a larger organization. By nature, physicians are not "company people." For physician executives, whose instincts can still lean toward being ferociously independent and individualistic--therein lies the struggle. Here are a few suggestions to help physician executives make the adjustments that are required of a "company person": (1) Be in the right place; (2) abandon critical/negative thinking; (3) focus on the issues; (4) maintain solidarity; and (5) make your boss look good.     

Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system

Collaborative initiatives such as collaborative design, collaborative planning and forecasting, and open collective innovation are increasingly accepted as approaches that can effectively support decision-making (DM) processes in a range of different industries. However, justifying and demonstrating the benefits of collaborative solutions remains a challenge and has been under-researched. Demonstrating the feasibility of implementing collaborative solutions as opposed to traditional, linear and transactional solutions is even less evident. The purpose of this paper is to conceive a collaborative solution that supports the multi-level DM process in a real, tree-based automotive supply chain environment. The hypothesis presented posits that by sharing information collaboratively, improvements in terms of the profit and service levels will be found within the supply chain and at every supply chain node.     

Asymptotic expansion of the risk of maximum likelihood estimator with respect to α-divergence

For a given parametric probability model, we consider the risk of the maximum likelihood estimator with respect to α-divergence, which includes the special cases of Kullback–Leibler divergence, the Hellinger distance, and essentially χ²-divergence. The asymptotic expansion of the risk is given with respect to sample sizes up to order n^{? 2}. Each term in the expansion is expressed with the geometrical properties of the Riemannian manifold formed by the parametric probability model.