Rationality from a computational standpoint

A computationally viable choice function possesses, in addition to other important properties, adaptability - as new alternatives become feasible the set of best alternatives corresponding to the new feasible set can be located without having to reconsider previously rejected alternatives. Adaptability is shown to be closely related to, in fact characteristic of, the standard notions of rationality (expressed in terms of transitivity properties). Adaptability provides a generalization of conventional rationality and in addition leads to the choice function proposed by Schwartz, albeit from an entirely different route, that of computational viability.     

Relational Aggression in Middle Childhood: Predictors and Adolescent Outcomes

This study examined gender differences in the level and developmental course of relational aggression in middle childhood, as well as early predictors and outcomes of relational aggression, after controlling for concurrent physical aggression. Relational (RAgg) and Physical aggression (PAgg) scores for 558 boys and 545 girls at the ages of eight to 11 in the NICHD Study of Early Child Care and Youth Development (SECCYD) were created by combining the highest rating for each item across mother and teacher reports. Longitudinal analyses were conducted using latent curve models of RAgg with PAgg as a time‐varying covariate, with all parameters allowed to vary by gender. Boys and girls had different growth parameters of RAgg. Girls' RAgg intercept was higher, and the slope was not different from zero; boys' RAgg intercept was lower, and the slope declined. Mother–child conflict in early childhood predicted RAgg intercept for both boys and girls, but maternal harsh control and sensitivity were also uniquely predictive for girls whereas center care was uniquely predictive for boys. RAgg intercept predicted adolescent self‐reports of depression for girls and delinquency and risk‐taking for both boys and girls; the magnitude of the association with risk taking was significantly greater for boys.     

Editorial: Women and work

Abstract

When compared to day workers, night-shift workers report that they eat fewer meals, have poorer appetites, are less satisfied with their eating habits, and eat at different times of the day. When demographic variables are held constant, there do not appear to be any significant differences between experienced day and night-shift workers in caffeine or alcohol consumption. Exceptions to and variations in these findings are probably due to the background influences of social and cultural variables. Eating and drinking behaviours do effect human performance and mood, but little relevant data have been gathered from experienced night-shift workers. There are no shiftworker data evaluating the effectiveness of the special diets or dietary recommendations that have been proposed for use by night-shift workers. Thus, attempts to manipulate night-shift worker eating and drinking habits require experimental test.     

Coming Out and Coming Home

This paper draws on the testimonies of British disabled lesbians and gay men about their experience of coming out as gay, and coming out as disabled. They reflect on the different aspects of their identity, and the interrelation of their sexuality and their disability. The respondents share their experiences of exclusion and marginality in both the disability and gay communities, and discuss where they feel most at home as disabled lesbians and gays.     

A simple way to obtain the spectral decomposition of variance components models for balanced data

By means of an example it is shown how eigenvalues and eigenvectors of variance components models can be obtained straightforwardly when balanced data are available. Simple asymptotically efficient estimators of the variance components are presented.     

Who We Are Affects How We Do: The Financial Benefits of Organizational Identification

One ultimate test of the material value of identification in an organizational context is whether it relates to productivity. In this rare study of a business team in a global consumer goods company, we demonstrate a sales benefit of organizational identification when correcting for systematic between‐unit differences in sales. Findings also question the theoretical and practical meaning of ‘proximity’ in accounting for salience variations in identification – the best predictor of sales was the degree of identification with the superordinate business unit. Findings shed light on the scientific as well as managerial and business utility of the organizational identity concept.     

Bayesian inference for dynamic social network data

We consider a continuous-time model for the evolution of social networks. A social network is here conceived as a (di-) graph on a set of vertices, representing actors, and the changes of interest are creation and disappearance over time of (arcs) edges in the graph. Hence we model a collection of random edge indicators that are not, in general, independent. We explicitly model the interdependencies between edge indicators that arise from interaction between social entities. A Markov chain is defined in terms of an embedded chain with holding times and transition probabilities. Data are observed at fixed points in time and hence we are not able to observe the embedded chain directly. Introducing a prior distribution for the parameters we may implement an MCMC algorithm for exploring the posterior distribution of the parameters by simulating the evolution of the embedded process between observations.