Self-advocates have the last say on friendship

This study reports the friendship experiences and aspirations of adults with intellectual disabilities. The findings of a larger study were reviewed by an expert group of self-advocates with intellectual disability. The expert group confirmed some of the interpretation of the original data and expanded on issues. Friendship is established as an issue of concern among adults with intellectual disability. Consequently, policy-makers and service providers need to be intentional about providing support for friendships. Participants asserted a positive self-identity of being a person with intellectual disability and how this could be a basis for friendship. Also, people with intellectual disability demonstrated how they should be considered experts in their own life experience and how they can be effectively included in the formulation, implementation, analysis and review of research.     

Literatur

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Literatur     

Reducing sample size needed for cox-proportional hazards model analysis using more efficient sampling method

Abstract

In general, survival data are time-to-event data, such as time to death, time to appearance of a tumor, or time to recurrence of a disease. Models for survival data have frequently been based on the proportional hazards model, proposed by Cox. The Cox model has intensive application in the field of social, medical, behavioral and public health sciences. In this paper we propose a more efficient sampling method of recruiting subjects for survival analysis. We propose using a Moving Extreme Ranked Set Sampling (MERSS) scheme with ranking based on an easy-to-evaluate baseline auxiliary variable known to be associated with survival time. This paper demonstrates that this approach provides a more powerful testing procedure as well as a more efficient estimate of hazard ratio than that based on simple random sampling (SRS). Theoretical derivation and simulation studies are provided. The Iowa 65+ Rural study data are used to illustrate the methods developed in this paper.     

Notes on two sample tests for partially correlated (paired) data

We provide several methods to compare two Gaussian distributed means in the two sample location problems under the assumption of partially dependent observations. Simulation studies indicate that our test procedure is frequently more powerful than other methods depending on the ratio of the unpaired data and the strength and direction of the correlation between the two variables. The tests used in our comparative study are illustrated with an example based on data from a small gynecological study.     

Toward Understanding the Adjustment Problems of Foreign Families in the College Community: The Case of Japanese Wives at the Harvard University Health Services

Abstract

Four hundred fifty-six undergraduates at a Scottish university completed the Core Alcohol and Drug Survey, an instrument widely used in the United States to examine the nature, scope, and consequences of alcohol and other drug use on college campuses. The Scottish students were found to drink more frequently, consume more alcohol, and engage in binge drinking more often than their American counterparts. The Scottish students also demonstrated higher rates of hangovers, missed classes, and blackouts than the Americans, but the percentage of American students who had driven while intoxicated was greater than that of the Scots. Focus groups of students in Scotland and interviews with student affairs personnel and local officials indicated that student drinking is not generally viewed as a problem because extensive alcohol use appears to be part of Scottish culture and is readily accepted. Students reported that their drinking, other than in pubs, was spread out over time and was associated with eating and social activities. At student social events where alcohol was served, there was little evidence of loud, inappropriate, aggressive, or otherwise rowdy behavior; drinking appeared to be handled in a more controlled, safe, and responsible way than among US college students.     

The Dynamic Capability View in Strategic Management: A Bibliometric Review

The dynamic capability view (DCV) is one of the most vibrant approaches to strategic management. In this study, the extant literature published between 1994 and 2011 is analysed, using bibliometric methods in order to explore the scope of this approach and detect current research priorities. For this purpose, the method of bibliographic coupling is introduced in management research, which shifts the focus of analysis from past traditions to current trends. Several clusters of thematically related research are extracted from bibliographic networks, which represent interconnected yet distinct subfields of inquiry within the DCV. The core cluster of the current DCV, which visualizes this research field's nascent but fragile identity, focuses on learning and change capabilities and relates them to firm performance, thus merging aspects of organization theory and strategic management. In addition, several peripheral clusters of research are identified, which reflect a parallel process of differentiation in the overall field. Both trends, i.e. of integration and differentiation, attest to the emancipation of the DCV as a distinct approach to strategic management. However, the DCV still lacks consensual concepts that allow comparisons of empirical studies and advance the theoretical understanding of dynamic capabilities. In the light of the above, some implications of this analysis for further research are discussed.     

A nonparametric test of symmetry based on the overlapping coefficient

In this paper, we introduce a new nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation. Our investigation reveals that the new test is more powerful than the runs test of symmetry proposed by McWilliams [31]. Intensive simulation is conducted to examine the power of the proposed test. Data from a level I Trauma center are used to illustrate the procedures developed in this paper.     

Data and Model Management in a Generalized MCDM-DSS*

Drawing upon the choice models developed in the multiple criteria decision making (MCDM) area, this paper proposes an architecture for designing an intelligent decision support system (DSS) that is intended to aid in making choices among multiple alternatives along multiple dimensions. It argues that effective support can be provided to the decision maker when the knowledge-based DSS is capable of dynamically selecting choice models appropriate to the domain and context of a particular problem being specified by the decision maker, and of properly applying them to the problem solution. Development of a prototype intended to partially represent application of the architecture is described. The paper concludes with suggestions for research extensions.     

Incorporating Neighborhood Choice in a Model of Neighborhood Effects on Income

Studies of neighborhood effects often attempt to identify causal effects of neighborhood characteristics on individual outcomes, such as income, education, employment, and health. However, selection looms large in this line of research, and it has been argued that estimates of neighborhood effects are biased because people nonrandomly select into neighborhoods based on their preferences, income, and the availability of alternative housing. We propose a two-step framework to disentangle selection processes in the relationship between neighborhood deprivation and earnings. We model neighborhood selection using a conditional logit model, from which we derive correction terms. Driven by the recognition that most households prefer certain types of neighborhoods rather than specific areas, we employ a principle components analysis to reduce these terms into eight correction components. We use these to adjust parameter estimates from a model of subsequent neighborhood effects on individual income for the unequal probability that a household chooses to live in a particular type of neighborhood. We apply this technique to administrative data from the Netherlands. After we adjust for the differential sorting of households into certain types of neighborhoods, the effect of neighborhood income on individual income diminishes but remains significant. These results further emphasize that researchers need to be attuned to the role of selection bias when assessing the role of neighborhood effects on individual outcomes. Perhaps more importantly, the persistent effect of neighborhood deprivation on subsequent earnings suggests that neighborhood effects reflect more than the shared characteristics of neighborhood residents: place of residence partially determines economic well-being.