Leadership and Effectiveness in the Context of Gender: The Role of Leaders' Verbal Behaviour*

This field study focuses on verbal consideration, which is a leadership behaviour that expresses esteem for the follower and her or his work, knowledge and opinion. It was assumed that the relationship between verbal consideration and various outcomes is moderated by the leader's gender. One‐hundred‐and‐forty leaders and 455 of their direct followers were surveyed in a one‐wave questionnaire study in Germany. Male and female leaders showed the same degree of verbal consideration as rated by their followers. Verbal consideration is related to three out of four outcome variables for both sexes. One unexpected moderating effect of leaders' gender was found: followers of male leaders displaying verbal consideration report less ‘irritation’ (a state of exhaustion considered a threat to good task fulfilment). One explanation may be that male leaders get ‘extra credit’ for showing verbal consideration as it may be thought to entail special effort, whereas for female leaders it may be seen as normal and routine. This assumption should be examined in further studies in order to get more information about the different mechanisms by which female and male leaders reach the same quality of outcomes.     

Consistency of the least-squares-estimators for linear stochastic difference equations

Assumptions are given for the strong consistency in the stable case and weak consistency in the instable case of the Least-Square-Estimator of the unknown system-parameters of a inhomogeneous linear stochastic difference equation system with constant coefficients.     

Optimal designs for the Michaelis–Menten model with correlated observations

In this paper we investigate the problem of designing experiments for generalized least-squares analysis in the Michaelis–Menten model. We study the structure of exact D-optimal designs in a model with an autoregressive error structure. Explicit results for locally D-optimal designs are derived for the case where two observations can be taken per subject. Additionally standardized maximin D-optimal designs are obtained in this case. The results illustrate the enormous difficulties to find exact optimal designs explicitly for nonlinear regression models with correlated observations.     

Communicating about the Risks and Benefits of Genetically Modified Foods: The Mediating Role of Trust

Recent research suggests that public attitudes toward emerging technologies are mainly driven by trust in the institutions promoting and regulating these technologies. Alternative views maintain that trust should be seen as a consequence rather than a cause of such attitudes. To test its actual role, direct as well as mediating effects of trust were tested in an attitude change experiment involving 1,405 consumers from Denmark, Germany, Italy, and the United Kingdom. After prior attitudes to genetic modification in food production had been assessed, participants received different information materials (either product-specific information or balanced/general information about genetic modification in food production) and were asked to evaluate different types of genetically modified foods (either beer or yoghurt). The information materials were attributed to different information sources (either an industry association, a consumer organization, or a government source). After completion, perceived risk and perceived benefit were assessed, and participants indicated their trust in the information sources to which the materials had been attributed. Direct and trust-mediated attitude change effects were estimated in a multi-sample structural equation model. The results showed that information provision had little effect on people's attitudes toward genetically modified foods, and that perceptions of information source characteristics contributed very little to attitude change. Furthermore, the type of information strategy adopted had almost no impact on postexperimental attitudes. The extent to which people trusted the information sources appeared to be driven by people's attitudes to genetically modified foods, rather than trust influencing the way that people reacted to the information. Trust was not driving risk perception-rather, attitudes were informing perceptions of the motivation of the source providing the information.     

TO “VAPE” OR SMOKE? EXPERIMENTAL EVIDENCE ON ADULT SMOKERS

A growing share of the U.S. population uses e‐cigarettes but the optimal regulation of these controversial products remains an open question. We conduct a discrete choice experiment to investigate how adult tobacco cigarette smokers' demand for e‐cigarettes and tobacco cigarettes varies by four attributes: (1) whether e‐cigarettes are considered healthier than tobacco cigarettes, (2) the effectiveness of e‐cigarettes as a cessation device, (3) bans on use in public places, and (4) price. We find that adult smokers' demand for e‐cigarettes is motivated more by health concerns than by the desire to avoid smoking bans or higher prices. (JEL C35, I12, I18)     

NGOs,IOs, and the ICC: Diagnosing and Framing Darfur

Nongovernmental organizations (NGOs) have become influential forces in global society. They exert their influence in part by framing issues and thereby suggesting particular courses of action. This article examines how NGOs with distinct missions represent mass violence for the case of Darfur. Content analysis of reports, speeches, and other documents from Amnesty International, Doctors Without Borders, and Save Darfur reveals distinct patterns across organizations. In addition to the organizations' specialized fields, interventions by external actors such as the United Nations and the International Criminal Court affect NGO framing, but they do so in organization‐specific ways. Against presumptions of a uniform Western position on Darfur, this analysis documents that depictions of violence by Western NGOs show field‐specific patterns and distinct responses to international political and judicial interventions.     

Putting the P-Value in its Place

ABSTRACT

As the debate over best statistical practices continues in academic journals, conferences, and the blogosphere, working researchers (e.g., psychologists) need to figure out how much time and effort to invest in attending to experts' arguments, how to design their next project, and how to craft a sustainable long-term strategy for data analysis and inference. The present special issue of The American Statistician promises help. In this article, we offer a modest proposal for a continued and informed use of the conventional p-value without the pitfalls of statistical rituals. Other statistical indices should complement reporting, and extra-statistical (e.g., theoretical) judgments ought to be made with care and clarity.     

THE PAYOFF TO CONSISTENCY IN PERFORMANCE

This study investigates whether firms are willing to pay higher wages to workers who demonstrate consistent performance than to those whose performance is more volatile. A formal model reflects a production technology view, assuming the law of diminishing marginal product. This model suggests that a more consistent worker produces higher expected output and therefore receives a higher wage. The test of the model uses data from the National Basketball Association. The empirical data support the model: Players whose performances were more consistent than the performances of other players received higher wages on average. (JEL D41, J31, M52, Z20)