Who Reaps the Benefits,Who Bears the Risks? Comparative Optimism,Comparative Utility,and Regulatory Preferences for Mobile Phone Technology

Although the issue of risk target (e.g., self, others, children) is widely acknowledged in risk perception research, its importance appears underappreciated. To date, most research has been satisfied with demonstrating comparative optimism, i.e., lower perceived risk for the self than others, and exploring its moderators, such as perceived controllability and personal exposure. Much less research has investigated how the issue of target may affect benefit perceptions or key outcomes such as stated preferences for hazard regulation. The current research investigated these issues using data from a public survey of attitudes toward mobile phone technology (N= 1,320). First, results demonstrated comparative optimism for this hazard, and also found moderating effects of both controllability and personal exposure. Second, there was evidence of comparative utility, i.e., users believed that the benefits from mobile phone technology are greater for the self than others. Third, and most important for policy, preferences for handset regulation were best predicted by perceptions of the risks to others but perceived benefits for the self. Results suggest a closer awareness of target can improve prediction of stated preferences for hazard regulation and that it would be profitable for future research to pay more attention to the issue of target for both risk and benefit perceptions.     

Measuring Inequity Aversion in a Heterogeneous Population Using Experimental Decisions and Subjective Probabilities

We combine choice data in the ultimatum game with the expectations of proposers elicited by subjective probability questions to estimate a structural model of decision making under uncertainty. The model, estimated using a large representative sample of subjects from the Dutch population, allows both nonlinear preferences for equity and expectations to vary across socioeconomic groups. Our results indicate that inequity aversion to one's own disadvantage is an increasing and concave function of the payoff difference. We also find considerable heterogeneity in the population. Young and highly educated subjects have lower aversion for inequity than other groups. Moreover, the model that uses subjective data on expectations generates much better in‐ and out‐of‐sample predictions than a model which assumes that players have rational expectations.     

Associations between overtime and psychological health in high and low reward jobs

This study focused on the relationship between overtime and psychological health in high and low reward jobs, and in jobs with high and low external pressure to work overtime. Data were collected for 535 full-time employees of the Dutch Postal Service. In general, overtime was associated with negative work-home interference and negative home-work interference. Split-sample logistic regression analyses showed that employees reporting low rewards had elevated risks of burnout, negative work-home interference and slow recovery. In addition, the combination of overtime and low rewards was associated with negative home-work interference. A second analysis was conducted separately for employees who reported overtime in order to study the effects of external pressure to work overtime. In this subgroup, low rewards were associated with elevated risks of health complaints, emotional exhaustion and negative home-work interference. Moreover, employees who reported overtime and a high pressure to work overtime in combination with low rewards had elevated risks of poor recovery, cynicism, and negative work-home interference. The results suggest that even a limited number of hours of involuntary overtime is associated with adverse mental health, but only in low reward situations.     

Environmental Sustainability and Social Work: A Rural Australian Evaluation of Incorporating Eco-Social Work in Field Education

Climate change poses significant threat to the wellbeing of global society. Addressing this change has as yet generated no fixed blueprint for social work practice and education. This paper reports on a formative evaluation of one Australian initiative to address this transformative opening in social work field education. Prompted by service users' and workers' experience of the impact of drought, a rurally located social work course team amended the field education curriculum to include a focus on Environment and Sustainability. This learning goal was added to the existing learning goals derived from the Australian Association of Social Workers (AASW) Practice Standards. Students and field supervisors were surveyed on their experience of meeting this new learning goal. While most expressed confidence in understanding the concepts involved, they clearly lacked assurance in interpreting these in practice encounters. Considering their qualitative input suggests that this topic is making a transition from being on the margins of social work to becoming mainstream. Their open-ended responses indicate that the incorporation of environmental sustainability into practice is at a threshold stage of development. Further enactment of eco-social work at the local level is concluded to be supported by using a transformative learning framework in facilitating critical reflection and collaborative dialogue for effective change.     

A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies

In computational sciences, including computational statistics, machine learning, and bioinformatics, it is often claimed in articles presenting new supervised learning methods that the new method performs better than existing methods on real data, for instance in terms of error rate. However, these claims are often not based on proper statistical tests and, even if such tests are performed, the tested hypothesis is not clearly defined and poor attention is devoted to the Type I and Type II errors. In the present article, we aim to fill this gap by providing a proper statistical framework for hypothesis tests that compare the performances of supervised learning methods based on several real datasets with unknown underlying distributions. After giving a statistical interpretation of ad hoc tests commonly performed by computational researchers, we devote special attention to power issues and outline a simple method of determining the number of datasets to be included in a comparison study to reach an adequate power. These methods are illustrated through three comparison studies from the literature and an exemplary benchmarking study using gene expression microarray data. All our results can be reproduced using R codes and datasets available from the companion website http://www.ibe.med.uni-muenchen.de/organisation/mitarbeiter/020_professuren/boulesteix/compstud2013.     

Rainfall variations and child mortality in the Sahel: results from a comparative event history analysis in Burkina Faso and Mali

Over the last 40 years, the Sahel has seen a long-term downward trend in rainfall. The importance of ecological variables as factors affecting child survival in rural subsistence societies has already been emphasized, but little empirical evidence has been gathered to support this. This paper presents a comparative event history analysis aimed at understanding how rainfall variations may influence child mortality in two neighbouring countries, Burkina Faso and Mali. These countries are similar in terms of population dynamics, economy, livelihood, child mortality and rainfall conditions (i.e. strong south–north decreasing rainfall gradient). Individual data for both countries came from two detailed nationally representative retrospective surveys conducted in 2000. Rainfall data for the 1960–1998 time period were obtained from the Climatic Research Unit. This study shows that child survival in each country is related to specific patterns of rainfall variation across livelihood regions, highlighting the complex nature of environmental causality of child mortality.     

How do my parents react when I feel happy? Longitudinal associations with adolescent depressive symptoms,anhedonia, and positive affect regulation

Parental emotion socialization plays a role in the development of adolescents’ emotion regulation and is associated with adolescents’ depressive symptoms. Most research has focused on parental socialization of negative affect. The scarce research on parental socialization of positive affect (PA) shows that parental downgrading responses to adolescents’ PA are associated with concurrent adolescent depression. The aims of the present study were to examine longitudinal associations of both maternal and paternal responses to adolescents’ PA with how adolescents regulate their PA (i.e., dampening and enhancing) and with adolescents’ general depressive symptoms and anhedonia. We also considered associations in the opposite direction from adolescent regulatory responses and symptoms to parental responses. In a two‐wave study (1‐year interval), 635 adolescents from Grade seven completed questionnaires. Cross‐sectionally, maternal and paternal responses to adolescents’ PA were associated with concurrent adolescents’ PA regulation as well as adolescents’ depressive and anhedonic symptoms. Longitudinally, low maternal and paternal enhancing responses to adolescents’ PA predicted relative increases in anhedonic symptoms and relative decreases in adolescent enhancing over time. Low maternal enhancing was also predictive of relative increases in depressive symptoms. The present study points to bidirectionality of relations as adolescents’ level of depressive symptoms predicted maternal and paternal responses.