An attribution model of public discrimination towards persons with mental illness

In this study, we build on previous work by developing and estimating a model of the relationships between causal attributions (e.g., controllability, responsibility), familiarity with mental illness, dangerousness, emotional responses (e.g., pity, anger, fear), and helping and rejecting responses. Using survey data containing responses to hypothetical vignettes, we examine these relationships in a sample of 518 community college students. Consistent with attribution theory, causal attributions affect beliefs about persons' responsibility for causing their condition, beliefs which in turn lead to affective reactions, resulting in rejecting responses such as avoidance, coercion, segregation, and withholding help. However, consistent with a danger appraisal hypothesis, the effects of perceptions of dangerousness on helping and rejecting responses are unmediated by responsibility beliefs. Much of the dangerousness effects operate by increasing fear, a particularly strong predictor of support for coercive treatment. The results from this study also suggest that familiarity with mental illness reduces discriminatory responses.     

Buying a pig in a poke: An experimental study of unconditional veto power

We study an ultimatum experiment in which the responder does not know the offer when accepting or rejecting. Unconditional veto power leads to acceptances, although proposers are significantly greedier than in standard ultimatum games, and this is anticipated by responders. We also elicit responders’ willingness to pay for (un)conditional veto power. The bids reveal a large endowment effect.     

Fat in the Fire? Science,the News Media,and the “Obesity Epidemic”2

In recent years, the “obesity epidemic” has emerged as a putative public health crisis. This article examines the interconnected role of medical science and news reporting in shaping the way obesity is framed as a social problem. Drawing on a sample of scientific publications on weight and health, and press releases and news reporting on these publications, we compare and contrast social problem frames in medical science and news reporting. We find substantial overlap in science and news reporting, but the news media do dramatize more than the studies on which they are reporting and are more likely than the original science to highlight individual blame for weight. This is partly due to the news media’s tendency to report more heavily on the most alarmist and individual‐blaming scientific studies. We find some evidence that press releases also shape which articles receive media coverage and how they are framed.     

Applications of Bayesian analysis to proof‐of‐concept trial planning and decision making

Decision making is a critical component of a new drug development process. Based on results from an early clinical trial such as a proof of concept trial, the sponsor can decide whether to continue, stop, or defer the development of the drug. To simplify and harmonize the decision‐making process, decision criteria have been proposed in the literature. One of them is to exam the location of a confidence bar relative to the target value and lower reference value of the treatment effect. In this research, we modify an existing approach by moving some of the “stop” decision to “consider” decision so that the chance of directly terminating the development of a potentially valuable drug can be reduced. As Bayesian analysis has certain flexibilities and can borrow historical information through an inferential prior, we apply the Bayesian analysis to the trial planning and decision making. Via a design prior, we can also calculate the probabilities of various decision outcomes in relationship with the sample size and the other parameters to help the study design. An example and a series of computations are used to illustrate the applications, assess the operating characteristics, and compare the performances of different approaches.     

Social Movements and Collective Memory

This article summarizes key findings and provides suggestions for further research in the literature that combines social movements and collective memory. Existing reviews of the collective memory literature highlight the macro and micro levels of analysis; studying movements and memory adds a meso level of analysis. This review covers all three levels and for each level discusses research methods, the social consequences of memory activism, recurring patterns, and explanations. Suggestions for future research emphasize the concept of repertoire and its relation to memory. Tactical repertoires and cultural repertoires provide the resources needed to construct collective memories, and repertoires empower memory activists to engage the political sphere, create change, and nurture solidarity within movement organizations. Because the idea of a repertoire uncovers a process of remembering and is already a widely used term in social movement studies, it provides a resonant tool for future movement and memory research.     

Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next‐Generation Sequencing Data

Next‐generation sequencing (NGS) data present an untapped potential to improve microbial risk assessment (MRA) through increased specificity and redefinition of the hazard. Most of the MRA models do not account for differences in survivability and virulence among strains. The potential of machine learning algorithms for predicting the risk/health burden at the population level while inputting large and complex NGS data was explored with Listeria monocytogenes as a case study. Listeria data consisted of a percentage similarity matrix from genome assemblies of 38 and 207 strains of clinical and food origin, respectively. Basic Local Alignment (BLAST) was used to align the assemblies against a database of 136 virulence and stress resistance genes. The outcome variable was frequency of illness, which is the percentage of reported cases associated with each strain. These frequency data were discretized into seven ordinal outcome categories and used for supervised machine learning and model selection from five ensemble algorithms. There was no significant difference in accuracy between the models, and support vector machine with linear kernel was chosen for further inference (accuracy of 89% [95% CI: 68%, 97%]). The virulence genes FAM002725, FAM002728, FAM002729, InlF, InlJ, Inlk, IisY, IisD, IisX, IisH, IisB, lmo2026, and FAM003296 were important predictors of higher frequency of illness. InlF was uniquely truncated in the sequence type 121 strains. Most important risk predictor genes occurred at highest prevalence among strains from ready‐to‐eat, dairy, and composite foods. We foresee that the findings and approaches described offer the potential for rethinking the current approaches in MRA.     

Experiences and Perceptions of Problem Gamblers on Cognitive and Exposure Therapies When Taking Part in a Randomised Controlled Trial: A Qualitative Study

In South Australia (SA) problem gambling is mainly a result of the widespread availability of electronic gaming machines. A key treatment provider in SA offers free cognitive and behavioural therapy (CBT) to help-seeking problem gamblers. The CBT program focuses on the treatment of clients’ urge to gamble using exposure therapy (ET) and cognitive therapy (CT) to restructure erroneous gambling beliefs. The aim of this study was to explore treatment specific and non-specific effects for CT alone and ET alone using qualitative interviews. Interviewees were a sub-sample of participants from a randomised trial that investigated the relative efficacy of CT versus ET. Findings revealed that all interviewees gained benefit from their respective therapies and their comments did not appear to favour one therapy over another. Both treatment specific and treatment non-specific effects were well supported as playing a therapeutic role to recovery. Participants’ comments in both therapy groups suggested that symptom reduction was experienced on a gambling related urge–cognition continuum. In addition to symptom improvement from therapy-specific mechanisms, ET participants described a general acquisition of “rational thought” from their program of therapy and CT participants had “taken-over” their gambling urges. The findings also highlighted areas for further improvement including therapy drop-out.