The Role of Social Support in the Transition From Foster Care to Emerging Adulthood

Many youth leave foster care with disrupted relationships with their family and others in their social networks. Previous research has documented the severe adversity that former foster youth face in the transition to young adulthood. Perhaps some difficulties are at least partially related to a lack of social support that results from frayed relationships. This article reviews the literature on social support, particularly as it relates to foster youth, for the purpose of examining the role that formal and informal supports play in the transition to adulthood. The implications of this literature for successful transitions for former foster youth are discussed, as well as ways child welfare workers can engage youth and their families, and help them develop supportive social networks.     

An autecological interpretation of the firm and its environment

Explaining the survival and failure of firms is an important issue for researchers and managers of firms in society. Ecological approaches to the study of firms have existed for over 100 years, and have been increasingly popular during the past 40 years, especially since the pioneering works of Hannan and Freeman on one hand, and Aldrich on the other. This paper, in keeping with recent developments elsewhere in mainstream ecology outlines and positions the theoretical and philosophical foundations of an alternative ecological approach, autecology, that has not yet been formulated for the study of firms. The autecological approach affords the individual firm more autonomy in creating its own future evolutionary trajectory. The idea of an ecological complex is developed to provide clear focus on what is central to the application of autecology to the study of firms. The paper also considers several emergent research opportunities that highlight the potential value of employing an autecological approach to the study of firms.     

Wage and Non-Wage Compensation Among Young Alcoholic and Heavy Drinking Women: A Preliminary Analysis

The association between drinking and selected job characteristics among women aged 24 to 31 is examined. Using the 1989 NLSY, women are classified as alcohol abusers or dependent based on DSM-III-R criteria or as heavy drinkers based on reported frequency of six or more drinks. Heavy drinking is negatively associated with wage and non-wage compensation. These effects diminish when human capital measures are controlled. Current alcoholism and current and past heavy drinking are strongly negatively associated with years of schooling. The association between alcoholism and job compensation and characteristics is not as strong as that seen for heavy drinking. It is not known if this is a consequence of errors in identifying alcoholic women in population-based surveys.     

边疆人类学概述

人类学家关于边疆和边界的研究包括将内涵和认同层面存在差异的各个世界分离和联系起来的文化边疆,标示出地理空间的边疆以及形塑社会关系秩序和界定“社群”（community）成员资格的边疆。这些文化、领土和社会维度常常交叠在一起,构成了一个整体性的边疆人类学。目前,社会科学已经逐步将对边疆关注的焦点聚集到其关系性和动态性两个方面,不再将其视为政治边缘,而是嵌入到日常生活中,这也是人类学长期坚持的一种探索路径。     

Touch attitudes and behaviors,recollections of early childhood touch,and social self-confidence

Subjects filled out three touch attitude scales, a measure of recollections of early childhood touch, and a social competence inventory, and then proceeded to record their touches in a log for one week. The touch questionnaires, although correlated with one another, did not predict day-to-day touching as recorded in logs. However, the results also suggest that questionnaire responses (for the one recall measure and two attitude scales) and log records are each independently predictive of social self-confidence. These findings are interpreted to mean that both positive attitudes/remembrances about touch and active engagement in touch behavior are important elements in social competence. Implications for future research are discussed, including the suggestion that the possible effects of skills training in touch on tactile attitudes, touch communication practices, and social self-esteem should be investigated.Stanley E. Jones is professor of Communication at the University of Colorado, Boulder. Brandi C. Brown is amagna cum laude honors B.A. graduate of the same institution who now resides in Nashville, TN.     

Laplace-normal mixtures fitted to wind shear data

A mixture model with Laplace and normal components is fitted to wind shear data available in grouped form. A set of equations is presented for iteratively estimating the parameters of the model using an application of the EM algorithm. Twenty-four sets of data are examined with this technique, and the model is found to give a good fit to the data. Some hypotheses about the parameters in the model are discussed in light of the estimates obtained.     

A Person-Environment Fit Model for Virtual Organizations

While the increasing sophistication of information technology has led to the spread of virtual organizations, there has been very little research on what factors contribute to individuals’ effectiveness in such organizations. This paper argues that organizations possess different degrees of virtuality based on four dimensions of temporal, spatial, cultural, and organizational dispersion. Using a person-environment fit framework, a theoretical model that identifies individual qualities required to fit into virtual organizations, virtual teams, and virtual jobs is developed, taking into account dimensions and degrees of virtuality. Mechanisms for enhancing fit in virtual organizations as well as theoretical and practical implications of the model are addressed.     

Patient violence. Report of 200 incidents

Studies of assaultive behavior in hospital settings are increasing. Results are often contradictory. These variances are dependent upon the type of hospital, the specific setting, and the disciplines involved in the reporting process. Open recognition that violent incidents occur, and the substitution of fact finding for finger pointing, are the first steps toward prevention and management.     

DO NOT WEIGHT FOR HETEROSCEDASTICITY IN NONPARAMETRIC REGRESSION

The potential role of weighting in kernel regression is examined. The concept that weighting has something to do with heteroscedastic errors is shown to be false. However, weighting does affect bias, and ways in which this might be exploited are indicated.