Visual Dominance and Visual Egalitarianism: Individual and Group-Level Influences of Sex and Status in Group Interactions

This study investigated visual dominance and visual egalitarianism of men and women (N = 94; 17 teams) in team meetings at diverse workplaces. Two novel gaze-related measures were developed: (a) a group visual dominance ratio (group-VDR) assessing each member’s visual dominance vis-à-vis all other members, and (b) a gaze distribution index (GDI) assessing each member’s visual egalitarianism to all group members. Multilevel analyses were conducted to account for influences of the team members’ sex and status on the individual level and for influences of sex and status composition of the teams, and the team leaders’ sex on the group level. Results suggested that high-status individuals displayed more visual dominance than low-status individuals. The significant interaction of individuals’ sex and status indicated that the positive relationship of status and visual dominance applied particularly to women. The more women in a team, the more visual dominance was displayed. The team leader’s sex significantly influenced visual egalitarianism: Gaze distribution was less egalitarian when the team leader was male.     

On the number of separable partitions

Consider partitions of a given set A of n distinct points in general position in ℝ ^d into parts where each pair of parts can be separated by a hyperplane that contains a given set of points E. We consider the problem of counting and generating all such partitions (correcting a classic 1967 result of Harding about the number of such partitions into two parts). Applications of the result to partition problems are presented.     

Asymptotic tests and monte carlo studies associated with the multiplicative interaction model

Several authors have proposed approximations to percentage points required for testing certain hypotheses associated with the multiplicative interaction model. Alternative approximations based on the asymptotic joint distribution of the characteristic roots of a noncentral Wishart matrix are proposed in this paper. The type I error rates of the resulting tests and the existing procedures are then compared using Monte Carlo methods.     

On the asymptotic efficiency of moment and maximum likelihood estimators in the three-parameter inverse gaussian distribution

The asymptotic distribution of estimators generated by the methods of moments and maximum likelihood are considered. Simple formulae are provided which enable comparisons of asymptotic relative efficiency to be effected.     

Estimating the prevalence of sensitive behaviour and cheating with a dual design for direct questioning and randomized response

Randomized response is a misclassification design to estimate the prevalence of sensitive behaviour. Respondents who do not follow the instructions of the design are considered to be cheating. A mixture model is proposed to estimate the prevalence of sensitive behaviour and cheating in the case of a dual sampling scheme with direct questioning and randomized response. The mixing weight is the probability of cheating, where cheating is modelled separately for direct questioning and randomized response. For Bayesian inference, Markov chain Monte Carlo sampling is applied to sample parameter values from the posterior. The model makes it possible to analyse dual sample scheme data in a unified way and to assess cheating for direct questions as well as for randomized response questions. The research is illustrated with randomized response data concerning violations of regulations for social benefit.     

Graph monotonic values

A disturbing feature of most of the solution concepts for TU games with incomplete communication is that payments of players may decrease when they activate a new link. That can be considered as a drawback which does not occur for the Myerson value (Math Oper Res 2:225–229, 1977) of superadditive games. The present article offers a new axiomatic characterization of the Myerson value. We show that the Myerson value is the unique solution for games with communication structures verifying a set of properties including monotonicity with respect to the graph and coinciding with the Shapley value when the communication is complete.     

Workforce Issues in Residential Care Facilities in Rural China

This study examined contemporary frontline workforce issues related to residential care for elders in rural China. Residential facilities in rural China are in transition from exclusively providing shelter to childless elders to providing long-term care for frail elders. These facilities are also under pressure to improve the quality of services that they provide. The study is based on in-depth interviews with administrators and field observations of facilities. The study focused on the following issues related to the workforce: recruitment and retention, training, work environment, workforce organization, regulations, compensation, and career ladders. The implications of resident characteristics for demands on the work force were examined. The study found that lack of skilled personnel is one of the major reasons that the overwhelming majority of facilities deny admission to frail and demented elders. Improving workers’ skill is critical if these facilities are to meet the increasing demand for institutional long-term care needs.     

A case–control study relating railroad worker mortality to diesel exhaust exposure using a threshold regression model

A case–control study of lung cancer mortality in U.S. railroad workers in jobs with and without diesel exhaust exposure is reanalyzed using a new threshold regression methodology. The study included 1256 workers who died of lung cancer and 2385 controls who died primarily of circulatory system diseases. Diesel exhaust exposure was assessed using railroad job history from the US Railroad Retirement Board and an industrial hygiene survey. Smoking habits were available from next-of-kin and potential asbestos exposure was assessed by job history review. The new analysis reassesses lung cancer mortality and examines circulatory system disease mortality. Jobs with regular exposure to diesel exhaust had a survival pattern characterized by an initial delay in mortality, followed by a rapid deterioration of health prior to death. The pattern is seen in subjects dying of lung cancer, circulatory system diseases, and other causes. The unique pattern is illustrated using a new type of Kaplan–Meier survival plot in which the time scale represents a measure of disease progression rather than calendar time. The disease progression scale accounts for a healthy-worker effect when describing the effects of cumulative exposures on mortality.     

The market for (Ir)reproducible econometrics

Context: As the volume and complexity of research have increased, the amount of time spent on Institutional Review Board (IRB) review has decreased. The complexity of research has expanded, requiring increasingly specialized knowledge to review it. Dilemma: Under the current system, increasing numbers of research studies requiring expertise in ethics, new technologies or diverse study designs place a substantial burden upon local IRBs and often result in substantial variability among their reviews. This lack of uniformity in the review process creates uneven human subjects’ protection thus undermining the intent of the Common Rule. Objectives: To outline a scenario for expert centralized IRB review via implementation of a national virtual IRB review system overseen by the Office for Human Research Protections (OHRP). Conclusions: The complicated ethical issues and science involved in much of current research warrant an expert review panel. Centralized review would enable expert review specific to the research at hand, ensure consistency in human subjects protection, reduce the burden on local IRBs, and may reduce time spent obtaining approval. A centralized virtual system would allow IRB members to remain at their institutions while providing unprecedented expert review through currently available technology, and make information regarding monitoring and adverse event reporting available online in real-time.     

Analysis of a factorial quantal response assay using inverse regression

An inverse regression approach to analyzing quantal response assays with one quanritative independent- variable and any number of qualitative independent variables is presented. A general factorial model ror LQC- inverted relationship and methods of testing hypotheses estimating qulitative Interest are developed. This naper provides a modified method of analysis which is easier to apply than previously existing methods.