中美家庭结构与功能的比较分析

本研究聚焦于中美家庭结构和功能的异同以及文化力量的影响,利用美国社会工作学生访华计划设计了本研究课题,在中美双方老师的共同督导下,9名美国社会工作学生和18名中国社会工作学生参与了本课题研究,采用了面对面的深度访谈和观察的方法.比较了中美家庭在家庭结构、家庭决策、家庭沟通及家庭观念等方面的异同,并探讨了其中的文化影响力和对社会工作介入的启示.     

Bidirectionality in kindergarten children's school readiness and emotional regulation

This study examined the longitudinal associations of emotional regulation and school readiness among Chinese kindergarten children. Data were collected from 523 children (mean age at time 1 = 52.42 months; 52.9% male) at two time points separated by approximately 1 year in Hong Kong, China. At times 1 and 2, children's school readiness was assessed by their teachers and parents while their emotional regulation was directly tested. Teachers also rated children's emotional regulation at both time points. The results from the two reciprocal path models showed that, controlling for the corresponding autoregressive effects, school readiness at time 1 was predictive of emotional regulation at time 2. However, emotional regulation at time 1 did not emerge as a significant predictor of school readiness at time 2. Theoretically, these results underscored children's school readiness as a potential contributor to their emotional regulation. Practically, these findings suggested the utility of supporting children's school readiness to foster their emotional regulation.     

A network of management support systems

Based on the decision-making process that actually happens in most organizations, a management support system (MSS) or an integrated decision support systems (DSS) is defined as a network of subsystem interfaces, as opposed to management information system (MIS) being a network of information flows. Three modes for subsystem interfaces are discussed. To help the operationalization of the (computerized) support system, we also propose a design architecture which consists of the continuum of conceptual constructs, operational constructs and implementational constructs.     

Community Size,Individual Social Position,and Community Attachment1

Abstract The objective of this investigation is to elaborate and test the linear development and systemic models of community attachment. We focus on the interplay of community size, five social position variables, and three dimensions of community attachment, namely, involvement, amity, and sentiment. Data are obtained from a statewide migration telephone survey of 851 respondents aged 18 and over, conducted in Utah in October 1988. We focus on a weighted subsample of 415 nonmetropolitan respondents. Multiple Classification Analysis (MCA) techniques are employed. Contrary to the linear development model, community size did not have an independent inverse impact on community involvement, amity, and sentiment. Results do vary by social position and community attachment dimensions.     

Culture: A key to management communication between the Asian-Pacific area and Europe

Western culture, and therefore Western management methods and thinking, has devalued other cultures, and it has been assumed that the high culture of dominant nations has taken over. But this is not so; cultures of everyday life are complex and not easily destroyed. They are also systems in motion, that can adapt easily.Tzöl Zae Chung explains the striking differences between Asian and European thinking and ways of managing and doing business. Misunderstandings can occur if two cultures meet without adequate prior preparation. But increasingly, Japanese management methods are revitalizing Asian values and attracting attention. The cultural factor in globalization — especially in the ‘triad’ of trade between the US, the Asian-Pacific region and Europe is becoming critically important.     

A Graphical Display of Large Correlation Matrices

This department includes the two sections New Development in Statistical Computing and Statistical Computing Software Reviews; suitable contents for each of these sections are described under the respective section heading. Articles submitted for the department, outside the two sections, should not be highly technical and should be relevant to the teaching or practice of statistical computing.

Large correlation matrices are hard to look at. In this article we present correlations as elliptical glyphs for a simple intuitive display of large matrices.     

Subethnic interpersonal dynamic in diasporic community: a study on Chinese immigrants in Vancouver

ABSTRACT

Ethnicity is a social construct that can be conceptualised as a social classification delineating certain boundaries between an ethnic group and the dominant group. Members of an ethnic group are assumed to share similar cultural characteristics and to be homogenous among themselves. Many studies in ethnic organisations have indicated that subethnicity also exists within an ethnic group, but research on subethnicity is scant. Based on the findings of an exploratory study conducted in Vancouver, Canada, we examined how, at an interpersonal level, place of origin, language, mutual bias and discrimination and transnational politics divide the Chinese diasporic community subethnically. Meanwhile, being Chinese in the Canadian context and willingness to break the subethnic boundaries are noted as counterforces to the subethnic divide. We contend that interpersonal interaction is an imperative dimension for the understanding of the shaping of boundary between different subethnic groups.     

Influence of alliance portfolio diversity on innovation performance: the role of internal capabilities of value creation

In this study, we suggest a new perspective on the linkage between alliance portfolio diversity and innovation performance based on a contingency approach. Using a longitudinal data set on alliance portfolios and patents of 182 firms in the U.S. manufacturing industries, we examined that alliance portfolio diversity has a U-shaped relationship with firm-level innovation. Internal value creation capabilities in terms of routine and ability are found to moderate the relationship between alliance portfolio diversity and innovation performance: organizational search routine strengthens the relationship of alliance portfolio diversity and innovation performance while technological capabilities weaken and flip the relationship.

     

The effects of landscape scale on greenery and traffic relationships with urban birds and butterflies

Actions and policies to enhance biodiversity in the urban landscape must match the spatial scale at which biodiversity responds to the management and target variables. To this end, we compare the importance and effect of different kinds of greenery cover and road-lane density on bird and butterfly species richness between two landscape scales: 50-m versus 126-m radii around point counts (equivalent to areas of 0.8 h and 5 ha, respectively). We also compared the results against those of an earlier study using 500-m walking transects with widths of 100 m (i.e., 5 ha). Road lane density was more important at the 126-m than 50-m radius for both birds and butterflies. For birds, natural vegetation or forest cover and cultivated shrub cover were also more important at 126-m radius whereas the cultivated tree canopy cover was more important at 50-m radius. Cultivated tree cover and natural vegetation or forest cover were positively associated with species richness while road lane density and cultivated shrub cover were negatively associated with species richness. The results from point counts generally corroborate the results from the transects-based study, except that the short-duration point counts performed poorly in sampling butterflies. Our results indicate that in designing urban greenery policy, the plot sizes of individual developments is an appropriate spatial scale for the stipulation of tree cover targets, while urban planners have more flexibility to allocate natural greenery at broader spatial scales.

     

GAMMA-BASED CLUSTERING VIA ORDERED MEANS WITH APPLICATION TO GENE-EXPRESSION ANALYSIS

Discrete mixture models provide a well-known basis for effective clustering algorithms, although technical challenges have limited their scope. In the context of gene-expression data analysis, a model is presented that mixes over a finite catalog of structures, each one representing equality and inequality constraints among latent expected values. Computations depend on the probability that independent gamma-distributed variables attain each of their possible orderings. Each ordering event is equivalent to an event in independent negative-binomial random variables, and this finding guides a dynamic-programming calculation. The structuring of mixture-model components according to constraints among latent means leads to strict concavity of the mixture log likelihood. In addition to its beneficial numerical properties, the clustering method shows promising results in an empirical study.