Choosing the best (wo)man for the job: The effects of mortality salience,sex, and gender stereotypes on leader evaluations

The present research investigated the impact of death-related thoughts on preferences for male and female leaders and tested alternative predictions derived from terror management theory: the stereotype bias effect was predicted to result in a global preference for male leaders (Study1) and a preference for agentic leaders (Study 2), whereas the ingroup bias effect was predicted to result in women favoring female leaders and men preferring male leaders. These hypotheses were examined in two experimental studies wherein participants were presented with a mortality salience or control manipulation and subsequently presented with campaign statements from male and female gubernatorial candidates. Results from Study 1 were in accord with the enhanced ingroup bias predictions: under mortality salience women preferred and voted for the female candidate more so than the male candidate, while men showed the reverse preference. Results from Study 2, which also manipulated gender stereotypic traits of the candidates, support the enhanced stereotype bias effect: under mortality salience female participants preferred and voted for the agentic candidate regardless of sex, and males preferred the agentic male candidate. Results support previous TMT research demonstrating both ingroup bias and stereotype bias processes.     

Unemployed and their caseworkers: should they be friends or foes?

Summary.  In many countries, caseworkers in public employment offices have dual roles of counselling and monitoring unemployed people. These roles often conflict, which results in important caseworker heterogeneity: some consider providing services to their clients and satisfying their demands as their primary task. However, others may pursue their own strategies, even against the will of the unemployed person. They may assign jobs and labour market programmes without the consent of the unemployed person. On the basis of a very detailed linked jobseeker–caseworker data set for Switzerland, we investigate the effects of caseworkers' co-operativeness on the probabilities of employment of their clients. Modified statistical matching methods reveal that caseworkers who place less emphasis on a co-operative and harmonic relationship with their clients increase their chances of employment in the short and medium term.     

What is Recklessness in Scientific Research? The Frank Sauer Case

On May 22, 2017, administrative law Judge Leslie Rogall of the Department of Health and Human Services’ Departmental Appeals Board, Civil Remedies Division, ruled in favor of the Office of Research Integrity (ORI) concerning its decision to charge former University of California at Riverside biochemistry professor Frank Sauer with research misconduct for fabricating or falsifying digital image data included in three papers and seven grant applications submitted to the National Institutes of Health. More specifically, Sauer was deemed responsible for manipulating, reusing, and falsely labeling images of autoradiograms and gels in his research in epigenetics. One month after this decision, ORI announced its final ruling concerning Sauer, which barred him from serving in any advisory capacity to the Public Health Services and required him to retract affected papers. The case raises some interesting and important questions concerning research integrity because it focused on the legal issue of what constitutes recklessness in scientific research.     

Climate,agriculture, and hunger: statistical prediction of undernourishment using nonlinear regression and data-mining techniques

An estimated 1 billion people suffer from hunger worldwide, and climate change, urbanization, and globalization have the potential to exacerbate this situation. Improved models for predicting food security are needed to understand these impacts and design interventions. However, food insecurity is the result of complex interactions between physical and socio-economic factors that can overwhelm linear regression models. More sophisticated data-mining approaches could provide an effective way to model these relationships and accurately predict food insecure situations. In this paper, we compare multiple regression and data-mining methods in their ability to predict the percent of a country's population that suffers from undernourishment using widely available predictor variables related to socio-economic settings, agricultural production and trade, and climate conditions. Averaging predictions from multiple models results in the lowest predictive error and provides an accurate method to predict undernourishment levels. Partial dependence plots are used to evaluate covariate influence and demonstrate the relationship between food insecurity and climatic and socio-economic variables. By providing insights into these relationships and a mechanism for predicting undernourishment using readily available data, statistical models like those developed here could be a useful tool for those tasked with understanding and addressing food insecurity.     

Acclimation Effects and Separate Opinion Writing in the U.S. Courts of Appeals*

Objective. This article investigates the existence of a freshman effect on separate opinion authorship on the U.S. Courts of Appeals. First, we evaluate the extent to which freshman judges demonstrate unique behavior with respect to writing concurring and dissenting opinions. Second, we examine the potential for background factors to condition any freshman effect. Methods. Individual judges' decisions to author separate opinions, drawn from the Courts of Appeals Database (1960 to 1988), are modeled as a function of a host of individual‐ and circuit‐level factors, including the freshman status of the judge. Results. After controlling for alternative explanations, we find that freshman judges on the courts of appeals are less likely to author concurring and dissenting opinions. Prior federal or appellate court experience, however, does not appear to condition the freshman effect. Conclusion. Freshman circuit court judges experience significant acclimation effects following their elevation to the federal appellate bench.