Parents’ and Professionals’ Perceptions of the Services of Families of Children with Intellectual Developmental Disabilities

This study aims to investigate differences in perception among Kuwaiti parents, teachers, and employees regarding the services that are needed in different special education settings. The participants (n = 135) included 45 parents of children with intellectual developmental disabilities (IDD), 63 teachers in special education schools, and 27 employees working in the Higher Council of the Disabled. A survey was conducted using Hassan’s (The needs of parents of children with disabilities in relationship with child’s age, gender, and type of disability, 1992) Arabic version of the Family Need Inventory. The findings showed differences in perception among parents, teachers, and employees regarding what they consider to be the most important services for families of children with IDD. Another result showed significant differences in perception among the three groups regarding services (match or/and mismatch of responses), except for 3 out of 35 types of services. Suggestions and implications are discussed to provide information to social service providers to help them evaluate the laws that pertain to disability in Kuwait. The findings of this study will help social service providers determine and implement laws that meet the needs of parents of children with IDD and give them the right to be full partners in their children’s education.     

DISCRIMINATION, WOMEN, AND WORK: Processes and Variations by Race and Class

Research on gender and workplace stratification has made clear that persistent employment, wage, and mobility gaps exist, and that discrimination at organizational and interactional levels is playing a role. Few studies, however, have been able to directly capture processes involved. In this article, we draw on unique qualitative and quantitative data pertaining to verified cases of workplace sex and race discrimination (1988 to 2003), and analyze the discriminatory experiences of African-American and white women across various occupational statuses. Notable are high levels of discriminatory firing for both groups, but higher instances of race-based promotional discrimination for black women—a pattern partially linked to their disparate concentration in sex-segregated workplaces and in positions of lower occupational prestige. Our qualitative immersion into case materials reveals influential mechanisms and employer justifications, unique manifestations of differential treatment on the job, and the use of "soft skill" criteria in gatekeeper decision making. We conclude by discussing important dimensions of workplace discrimination for women, variations by social class and race status, and how complexities of status matter for what women experience and gatekeeper behavior.     

Employment and earnings of foreign-born scientists and engineers

Population Research and Policy Review -     

Ecosystem resilience, specialized adaptation and population decline: A modern Malthusian theory

The purpose of this article is to construct a theoretical framework characterizing the interactions among economic development, ecosystem equilibrium and possible population decline, and to discuss the population dynamics in the very long run. In our framework, economic activities bridge population and environment. On the one hand, human beings reform the environment through economic activities; on the other hand, economic activities decrease environmental resilience and increase the possibility of an environmental change in a discontinuous and irreversible pattern, as described in Arrow et al. (1995). Furthermore, a highly developed economy also causes over-specialization of human adaptation, which tends to exaggerate the impact of an environmental change on human population size. Received: 19 January 1999/Accepted: 3 July 1999     

Inferences on regression coefficients in a regression model under heteroscedasticity and robustness with respect to departure from normality

In this paper we consider a simple linear regression model under heteroscedasticity and nonnormality. A statistical test for testing the regression coefficient is then derived by assuming normality for the random disturbances and by applying Welch's method. Some Monte Carlo studies are generated for assessing robustness of this test. By combining Tiku's robust procedure with the new test, a robust but more powerful test is developed.     

A simulation study of the nearest neighbour analysis method of papadakis

The relative performances of randomised block, balanced lattice squares and Papadakis nearest neighbour analyses were compared on two simulated fields whose soil heterogeneity profiles were generated, one with a few evenly spaced contours and the other with many unevenly spaced contours. Four levels of random error were generated to simulate different proportions of random error and soil heterogeneity. Dummy treatments, corresponding to 7 x 7 and 11 x 11 balanced lattice squares were applied to the fields. The results from simulated experiments showed an interaction of error mean square (EMS) between size of experiment (7 x 7, 11 x 11) and levels of soil heterogeneity in the lattice analyses, but no such interaction in the Papadakis analyses. The Papadakis EMS decreased as random error decreased but at a rate depending on the map andthe ratio of soil heterogeneity to random error.     

Model-Based Classification via Mixtures of Multivariate t-Factor Analyzers

A model-based classification technique is developed, based on mixtures of multivariate t-factor analyzers. Specifically, two related mixture models are developed and their classification efficacy studied. An AECM algorithm is used for parameter estimation, and convergence of these algorithms is determined using Aitken's acceleration. Two different techniques are proposed for model selection: the BIC and the ICL. Our classification technique is applied to data on red wine samples from Italy and to fatty acid measurements on Italian olive oils. These results are discussed and compared to more established classification techniques; under this comparison, our mixture models give excellent classification performance.     

Capital,state and white labour in South Africa

by Robert H. Davies. New York: Harvester Press, 1979, R40,45.