Sources of differences between Chinese,Indian, and Caucasian scientists and engineers: Evaluations of managerial potential

This article proposes intrapersonal, interpersonal, and acculturation factors to help explain differences in evaluations of the managerial potential of Chinese, Indians, and U.S. Caucasians. Using data from 1658 scientists and engineers and their managers in 24 U.S. companies, we find that managers evaluate Indians (but not Chinese) to have less managerial potential and to be less effective at working with others than Caucasians. The absence of insecurity in Indians’ self-reported English fluency appears to be detrimental to the evaluation of their managerial potential. In contrast, Indians who report high managerial aspirations receive less harsh evaluations of their managerial potential. We discuss the implications of our findings for future research and practice.     

Book reviews

The third anniversary of 1994: Giorgio Tagliacozzo's thirty years of vichian studies     

Inference for the Hyperparameters of Structural Models Under Classical and Bayesian Perspectives: A Comparison Study

Structural models—or dynamic linear models as they are known in the Bayesian literature—have been widely used to model and predict time series using a decomposition in non observable components. Due to the direct interpretation of the parameters, structural models are a powerful and simple methodology to analyze time series in several areas, such as economy, climatology, environmental sciences, among others. The parameters of such models can be estimated either using maximum likelihood or Bayesian procedures, generally implemented using conjugate priors, and there are plenty of works in the literature employing both methods. But are there situations where one of these approaches should be preferred? In this work, instead of conjugate priors for the hyperparameters, the Jeffreys prior is used in the Bayesian approach, along with the uniform prior, and the results are compared to the maximum likelihood method, in an extensive Monte Carlo study. Interval estimation is also evaluated and, to this purpose, bootstrap confidence intervals are introduced in the context of structural models and their performance is compared to the asymptotic and credibility intervals. A real time series of a Brazilian electric company is used as illustration.     

A Collaboratively Designed Child Mental Health Service Model: Multiple Family Groups for Urban Children with Conduct Difficulties

This paper presents preliminary outcomes associated with an experimental, longitudinal study of a Multiple Family Group (MFG) service delivery approach set within thirteen urban outpatient clinics serving children and their families living in inner-city, primarily African American and Latino communities. Specifically, this paper focuses on parent reports of child oppositional behavior and parenting stress over time. MFG is a flexible, protocol-driven approach designed to address the most common reason for referral to outpatient child mental health clinics, childhood behavioral difficulties. The MFG also aims to enhance family-level engagement and retention in ongoing care. Further, the service delivery model was collaboratively developed with intensive input from parents rearing children with conduct difficulties, parent advocates, community-based child mental health providers and services research staff in order to ultimately expand the number of effective service models that can be situated within "real world," urban child mental health settings.     

Occupational Risks in Latin America

Protection against employment accidents and occupational diseases, also known as occupational risks, has a long history in Latin America. There have been very few studies of this branch of social security, despite the fact that as a vehicle of social protection it is of the greatest importance for any society. In view of its implications in terms of improved worker protection and greater productivity in the economy, this form of insurance deserves greater attention. This article attempts to give an overview of the evolution of occupational risk insurance in Latin America, as well as its current problems and status. It discusses specific aspects of selected schemes, with concluding observations on the challenges now faced by such schemes in the region.     

Anticipating Work and Family: Exploring the Associations Among Gender-Related Ideologies, Values, and Behaviors in Latino and White Families in the United States

This study explores Latina and White women's perceptions of their mother and father's gender-role ideologies, values, and behaviors concerning work and family intersections. Although Latino and White families in this Northern California, United States sample differed in terms of income and educational attainments, they did not differ in terms of the values they placed on work, marriage, and parenting or in terms of the time spent on work, marriage, and parenting. Among both Latino and White families, fathers and mothers were seen as quite distinct, in sex stereotypic ways. Correspondence between ideologies, values, and behaviors was not strong, either among Latinos or among Whites. It seems safe to conclude that people's attitudinal endorsement of egalitarianism does not assure behavioral endorsement.     

The downside of organizational identification: Relations between identification,workaholism and well-being

Abstract

Employee organizational identification has been proposed and found to be positively related to employee health and well-being. The empirical evidence, however, is not unequivocal, and some authors have suggested possible downsides of identification with the organization as a whole or with a group within it. The potential negative effect of over-identification was tested empirically for the first time in the present paper. Two studies were conducted; Study 1 was cross-sectional and used a sample of Italian law court clerks (N=195) and Study 2 was longitudinal and employed a sample of Italian teachers (N=140 at T2). We proposed a curvilinear mediation model with identification curvilinearly predicting workaholism, and workaholism, in turn, negatively affecting employee well-being. This curvilinear link between organizational identification and workaholism means that workaholism at first decreases with growing identification, but when identification becomes too strong, workaholism increases. The results confirmed our hypotheses, and we discuss theoretical and practical implications.     

Do Cultural Values Affect Quality of Life Evaluation?

Schwartz defines cultural values as motivational types, where each value reflects goals and objectives to be achieved. According to Schwartz, cultural values are related to an orientation that is individualistic (values referred to as power, achievement, hedonism, stimulation and self-direction), collectivistic (benevolence, tradition and conformity) or mixed (security and universalism). Today, there is a theoretical consensus that cultural values are mediators in the evaluation of quality of life (QOL); nonetheless, there are few published studies to date relating them to QOL. To determine whether a significant relationship exits between cultural values and QOL in three Spanish-speaking countries. A total of 821 persons participated: 321 from Chile, 200 from Spain and 300 from Cuba. The Schwartz Cultural Values Survey and the WHOQOL-BREF Quality of Life Scale were used. Analysis of variance, and correlation and regression analyses were preformed after collecting data. Only hedonism was significantly correlated with the global evaluation of QOL in Spain and Chile. Few correlations were found in all three countries between cultural values and the QOL domains evaluated, with the exceptions of the value of self-direction, which was related to physical well-being, and the value stimulation, which was correlated with psychological as well as social well-being in all three countries. Certain values may be associated with a better perception of QOL, depending on the particular culture of the population evaluated.     

Non-parametric Sampling Approximation via Voronoi Tessellations

In this article we propose a novel non-parametric sampling approach to estimate posterior distributions from parameters of interest. Starting from an initial sample over the parameter space, this method makes use of this initial information to form a geometrical structure known as Voronoi tessellation over the whole parameter space. This rough approximation to the posterior distribution provides a way to generate new points from the posterior distribution without any additional costly model evaluations. By using a traditional Markov Chain Monte Carlo (MCMC) over the non-parametric tessellation, the initial approximate distribution is refined sequentially. We applied this method to a couple of climate models to show that this hybrid scheme successfully approximates the posterior distribution of the model parameters.