城市流动人口社会融合的过程、测量及影响因素

本文提出流动人口的社会融合是一个逐步同化和减少排斥的过程,是流动人口对城市的主观期望和城市的客观接纳相统一的过程,是本地人口和外来移民发生相互交往和构建相互关系的过程。本文通过模型分析,验证了流动人口社会融合影响因素的三个假设,即流动人口的个人和家庭状况影响社会融合;流动人口的社区参与和社会资本影响社会融合;城市的制度安排影响流动人口的社会融合。     

Intercultural teaching through translation: an Information and Communication Technologies (ICT) literacy course case in Afghanistan

The purpose of this study was to teach and evaluate the effectiveness of an Information and Communication Technologies (ICT) course through translation to students in Afghanistan. First, an interview was conducted to determine students’ computer skills. It was concluded that the students had almost no computer skills. The course was delivered to two groups of first-year students for 14 weeks during one semester. In group one, students were taught by a Turkish instructor through a translator. The course was delivered to group 2 by a native-language speaking teacher. At the end of the semester, students of both groups were given a final exam and were asked to comment about teaching speed, overall satisfaction, teacher reactions, course materials and future improvements to the course. Statistically, there was no significant difference between the final performances of students in both groups. The students also declared that they wanted to greatly improve their computer skills and use the Internet to make use of digital ICT resources for other courses, too. An additional finding was that there was a 20-min time-delay between the Turkish and native groups due to the translation process throughout each course session.     

Differential Item Functioning of a Family Affluence Scale: Validation Study on Data from HBSC 2001/02

Methodology for making cross-national comparisons is an area of increasing interest in social and public health related research. When studying socio-economic differences in health outcomes cross-nationally, there are several methodological issues of concern, especially when data is derived from self-reported questionnaires. Health Behaviour in School-aged Children (Currie et al. 1998) is a WHO cross-national study using school samples. HBSC provides comparable data, and thereby a unique opportunity to study associations between social indicators and health outcomes within an international perspective. In 2001/02 data was collected from a total of 162,323 children in 32 countries (Austria, Belgium, Canada, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Greenland, Hungary, Ireland, Israel, Italy, Latvia, Lithuania, Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Russia, Slovenia, Spain, Sweden, Switzerland, Ukraine, United Kingdom, USA.). Studies of social inequalities requires that a comparable measure of socio-economic position (SEP) is in use. HBSC has developed a proxy for social position measuring material wealth, the Family Affluence Scale (FAS). This paper studies FAS and whether it is comparable across population subgroups defined by country, age and gender. Initial analysis revealed that an item measuring perceived family wealth was a valid FAS item. Including this item in the FAS score will improve the reliability of FAS. Graphical log-linear Rasch models (GLLRM) showed that FAS contain differential item functioning (DIF) with respect to country, age, and gender as well as local dependency (LD) between items. During the analysis, test equating techniques where used to adjust for the test bias generated by DIF. We recommend that the equated scores are used whenever FAS is included as a variable. This study suggests that HBSC-FAS should contain five items (additional item: perceived family wealth) when analysing data from HBSC 2001/02, and furthermore that each country should adjust for the DIF or make use of the converted FAS scores provided. If using FAS as a proxy for social position at an international level, it is not advised to compare the absolute levels of FAS, but weigh the scale by ridit transformation.

Does the Refugee Experience Overshadow the Effect of SES? An Examination of Self-Reported Health Among Older Vietnamese Refugees

Is the consistently poorer health of Vietnamese refugees relative to whites due largely to differences in socioeconomic status, demographic characteristics, and health risk behaviors or the residual impact of the trauma of war and resettlement? Using data from a population-based household survey we use multinomial logistic regression to assess the self-rated health and activity limitations of Vietnamese refugees aged 55 and older compared to whites, adjusting for demographics, socioeconomic status, and lifestyle characteristics. Vietnamese refugees report poorer health and are more likely to report activity limitations than whites. While substantial differences in characteristics exist between the two groups, they explain little of the health differentials. Demographic and socioeconomic factors do not explain the health differential between older Vietnamese refugees and whites, although their lifestyle exerts a protective effect. The trauma of war and the stressful context of immigration likely contribute to the poorer health of Vietnamese refugees.     

An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection

Supplier selection is a multi-criteria problem which includes both tangible and intangible factors. In these problems if suppliers have capacity or other different constraints two problems will exist: which suppliers are the best and how much should be purchased from each selected supplier? In this paper an integrated approach of analytic network process (ANP) and multi-objective mixed integer linear programming (MOMILP) is proposed. This integrated approach considers both tangible and intangible factors in choosing the best suppliers and defines the optimum quantities among selected suppliers to maximize the total value of purchasing (TVP), and to minimize the total cost and total defect rate and to balance the total cost among periods. The priorities are calculated for each supplier by using ANP. Four different plastic molding firms working with a refrigerator plant are evaluated according to 14 criteria that are involved in the four clusters: benefits, opportunities, costs and risks (BOCR). The priorities of suppliers will also be used as the parameters of the first objective function. This multi-objective and multi-period real-life problem is solved by using previous techniques and a reservation level driven Tchebycheff procedure (RLTP). Finally the most preferred nondominated solutions are determined by considering the decision maker's (DM's) preferences and the results obtained by these techniques are compared.     

Work–family conflict: comparing the experiences of Turkish and native Belgian women

ABSTRACT

While research has focused on a number of dimensions of work–family conflict (WFC), hardly any literature exists that analyses how differences in family systems might help to explain variations in WFC experiences. By employing Reher’s typology of strong and weak family ties to integrate existing research and identify unaddressed features, this study finds that researchers have generally understudied the role of structural family ties on WFC. Qualitative data gathered from interviews with highly educated native Belgian and Turkish immigrant women living in Belgium are used to analyse variation in the WFC experiences and coping strategies of these two groups. The results suggest that a number of interconnected factors related to family systems – including internalisation of gender roles, division of family-related responsibilities, support mechanisms and external pressures from family and society, and socialisation processes of minority women in both family structures – are highly significant in explaining variations in women’s WFC experiences.     

E-Bayesian estimation for the proportional hazard rate model based on record values

In this article, a new parameter estimation method, named E-Bayesian method, is considered to obtain the estimates of the unknown parameter and reliability function based on record values. The maximum likelihood, Bayesian, E-Bayesian, and hierarchical Bayesian estimates of the unknown parameter and reliability function are obtained when the underlying distribution belongs to the proportional hazard rate model. The Bayesian estimates are obtained based on squared error and linear-exponential loss functions. The previously obtained some relations for the E-Bayesian estimates are improved. The relationship between E-Bayesian and hierarchical Bayesian estimations are obtained under the same loss functions. The comparison of the derived estimates are carried out by using Monte Carlo simulations. Real data are analyzed for an illustration of the findings.