Migrant networks and the immigrant professional: An analysis of the role of weak ties

Weak ties, particularly those to potential employers, play a more important role than strong ties in the immigration of professionals to the United States. I operationalize network strength through the class of admission variable in the Immigration and Naturalization Service's public use data files,Immigrants Admitted to the United States, 1972–1992. I also examine the differential impact of legislative measures on the availability of strong versus weak ties for four groups of professionals: physicians, nurses, engineers and scientists. Not only do weak ties figure heavily on the immigration experiences of professionals, but those impacts affect women differently than men. Professional women rely more heavily on strong ties than on weak ties when compared with males in their respective professions, with the exception of nursing. These findings suggests a need for further study into the migration experiences of professionals as well as more research into how gendered networks develop among immigrant professionals and how those networks influence (either positively or negatively) immigrant adaptation to United States' society.     

Navigating the Transition to Multi‐Ethnic Urban High Schools: Changing Ethnic Congruence and Adolescents' School‐Related Affect

This short‐term longitudinal study investigated 918 students' school‐related affect across the transition to high school. The study focused specifically on the moderating effect of change in student ethnic congruence from middle to high school. Results indicate that students experiencing more ethnic incongruence from middle to high school, in particular African American and male students, reported declining feelings of school belonging over time. Moreover, students experiencing ethnic incongruence also had increasing worries about their academic success. These results suggest that the changing school demographics from middle school to high school may negatively impact students' school‐related affect, especially if they move to high schools which include fewer students who are ethnically similar to themselves.     

Estimation of Error and Bias in Bayesian Monte Carlo Decision Analysis Using the Bootstrap

Bayesian Monte Carlo (BMC) decision analysis adopts a sampling procedure to estimate likelihoods and distributions of outcomes, and then uses that information to calculate the expected performance of alternative strategies, the value of information, and the value of including uncertainty. These decision analysis outputs are therefore subject to sample error. The standard error of each estimate and its bias, if any, can be estimated by the bootstrap procedure. The bootstrap operates by resampling (with replacement) from the original BMC sample, and redoing the decision analysis. Repeating this procedure yields a distribution of decision analysis outputs. The bootstrap approach to estimating the effect of sample error upon BMC analysis is illustrated with a simple value-of-information calculation along with an analysis of a proposed control structure for Lake Erie. The examples show that the outputs of BMC decision analysis can have high levels of sample error and bias.     

FAMILY SYSTEMS THERAPY AFTER OPERATIONS DESERT STORM WITH EUROPEAN-THEATER VETERANS

We describe a quasi-experimental trial of time-limited family therapy with veterans and families of veterans who served in Europe, outside the war zone, during Operation Desert Storm (ODS). Family systems therapy was provided both to individuals and conjointly to couples or families during the acute postwar readjustment period. The intervention adapted strategies from structural, strategic, intergenerational, and behavioral family therapies in a brief-treatment protocol for systemic stressor resolution. Veterans given family system therapy were able to resume functional levels of psychosocial adjustment and reduce the risk of long-term (Chronic or delayed) psychosocial impairment. Based on these preliminary findings, controlled evaluation of family systems therapy appears warranted for indi-     

On perfect simulation for some mixtures of distributions

This paper studies the implementation of the coupling from the past (CFTP) method of Propp and Wilson (1996) in the set-up of two and three component mixtures with known components and unknown weights. We show that monotonicity structures can be exhibited in both cases, but that CFTP can still be costly for three component mixtures. We conclude with a simulation experiment exhibiting an almost perfect sampling scheme where we only consider a subset of the exhaustive set of starting values.     

Life satisfaction in midlife childless and empty-nest men and women

The primary purpose of this study was to contrast the life satisfaction of midlife empty-nest and childless individuals. Seventy-two men and women reported on their satisfaction with 11 areas of life as well as with regard to children. Empty-nest individuals were more satisfied than childless persons with regard to their decisions regarding children; however, the childless individuals were not unhappy with their decisions. Empty-nest individuals were also more positive than childless individuals about contact with children. There were no differences between the two groups with regard to areas of life satisfaction not related to children; nor were there significant gender differences in life satisfaction. The results were discussed in relation to both theory and data concerning midlife satisfaction and adjustment.SMS AssociatesThe research was completed by James E. Bell in partial fulfillment of the requirement for the masters of counseling degree at Arizona State University.     

Sourcing Strategy,Supplier Relationships and Firm Performance: An Empirical Investigation of UK Organizations

This article conceptualizes and empirically examines buyer–supplier relationships in respect of supply sourcing strategies, relationship characteristics and firm performance. Two sourcing strategies available to organizations are examined, critical and leverage, which in turn, influence the approach to managing the supplier relationship (arms‐length or collaborative). We argue that different relationship approaches are appropriate to achieving different performance outcomes. A structural equation model, using a sample of 142 manufacturing firms based in the United Kingdom, is used to test this hypothesized model. The results indicate that a critical sourcing strategy requires collaborative supplier relationships in order to achieve higher relationship and business outcomes, while leverage sourcing strategies have a direct impact on these same performance outcomes. In addition, a leverage strategy was associated with increased levels of supplier power, though this power was found not to have a significant effect on performance. Our study provides support for the importance of aligning sourcing strategies to particular supplier relationship approaches in order to improve firm performance. Managerial implications of these findings and future directions for research are then offered.