Identity Development in a Transracial Environment: Racial/Ethnic Minority Adoptees in Minnesota

It has been argued that transracially adopted children have increased risk of problems related to self-esteem and ethnic identity development. We evaluated this hypothesis across four groups of transracial adoptees: Asian (n = 427), Latino (n = 28), Black (n = 6), mixed/other (n = 20), and same-race White adoptees (n = 126) from 357 adoptive families. No mean differences were found in adoptees’ ratings of affect about adoption or of curiosity about birth parents. Some differences were found in general identity development and adjustment. There were notable differences in communication about race/ethnicity across groups and between parent and child report.     

Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve

In biomedical research, two or more biomarkers may be available for diagnosis of a particular disease. Selecting one single biomarker which ideally discriminate a diseased group from a healthy group is confront in a diagnostic process. Frequently, most of the people use the accuracy measure, area under the receiver operating characteristic (ROC) curve to choose the best diagnostic marker among the available markers for diagnosis. Some authors have tried to combine the multiple markers by an optimal linear combination to increase the discriminatory power. In this paper, we propose an alternative method that combines two continuous biomarkers by direct bivariate modeling of the ROC curve under log-normality assumption. The proposed method is applied to simulated data set and prostate cancer diagnostic biomarker data set.     

Computation of Sharp Bounds on the Expected Value of a Supermodular Function of Risks with Given Marginals

We show that the rearrangement algorithm (RA) introduced in Puccetti and Rüschendorf (2012 Puccetti, G., Rüschendorf, L. (2012). Computation of sharp bounds on the distribution of a function of dependent risks. Journal of Computational and Applied Mathematics 236(7):1833–1840.[Crossref], [Web of Science ®] , [Google Scholar]) to compute distributional bounds can be used also to compute sharp lower and upper bounds on the expected value of a supermodular function of d random variables having fixed marginal distributions. Compared to the analytical methods existing in the literature the algorithm is widely applicable, more easily obtained and gives insight into the dependence structures attaining the bounds.     

Sustainable landscaping programs in the United States and their potential to encourage conservation and support ecosystem services

Sustainable landscaping programs are voluntary initiatives that recommend a set of practices to improve the environmental quality of urban ecosystems by providing landscaping materials, guidelines, and educational resources. Our goal was to examine the recommendations and outcomes of these programs in the United States and their value for encouraging conservation practices in residential ecosystems. We conducted a comprehensive web search and identified 193 sustainable landscaping programs in the United States. Programs aim to increase native species richness, affordably manage stormwater runoff, and offer residents meaningful experiences with nature. Sustainable landscaping programs present many opportunities to engage people with local ecological knowledge and conservation practices, provide accessible spaces for environmental education, cultivate interdisciplinary research collaborations, and advance inclusion in conservation. However, assessments of their ecological value are rare, leaving many questions surrounding the benefits to biodiversity and water quality afforded by participation. Many programs also require investments in landscaping materials and certification fees that might limit participation by some households. Future work should examine how recommended practices influence urban biodiversity, identify and address barriers to participation, and generate social-ecological knowledge that can inform future programs.

     

Missing the wealthy in the HFCS: micro problems with macro implications

Wealth aggregates implied by the Household Finance and Consumption Survey (HFCS) usually yield much lower amounts than macroeconomic statistics reported in the National Accounts. An important source of this gap may be the under-representation of the wealthiest households in the HFCS. This article therefore combines a semi-parametric Pareto model estimated from top survey data and observations from rich lists with a non-parametric stratification approach to quantify the impact of the missing wealthy households on component-specific micro-macro gaps. We find that unadjusted micro data substantially underestimates wealth inequality. The largest effects are documented for equity. For other components, the missing wealthy explain less than ten percentage points of the micro-macro gap. We find that differences in oversampling strategies limit the cross-country comparability of unadjusted survey-implied wealth distributions and that our top tail adjustment leads to measures that are internationally better comparable.

     

Resources,homophily, and dependence: Organizational attributes and asymmetric ties in human service networks

This paper examines the effects of organizational attributes on power/dependence relations in interorganizational dyads. Exchange and homophily theories are discussed as two alternative perspectives on the processes that give rise to such effects. The data pertain to interagency ties in three community-based networks of youth service agencies and are analyzed via a new strategy of linear modeling dyadic relations. The results of the analysis suggest that size, administrative position, and justice system connections condition the extent to which an agency initiates and receives ties of influence, assistance, and support. Moreover, these relations are more frequent between agencies with similar treatment ideologies and client racial makeup. Finally, size and justice system access are found to reduce agency dependence on a network's administrative core. In the course of the discussion, a number of related issues and findings are discussed.     

Durkheim and pierce on suicide and economic change

This paper is an attempt to build upon Pierce's important finding, a confirmation of Durkheim, that any form of economic disruption or change increases suicide. In this paper, certain aspects of Pierce's method are criticized. The analysis of an expanded and updated data set, using analytic techniques designed for time-series data, suggests that economic disruption per se is not as relevant to the suicide rate as are economic hardship and economic deterioration or improvement.     

Prince George is Not (and never was) Canada’s Most Dangerous City: Using Police-Recorded Data for Comparison of Volume and Seriousness of Crimes

This article is based on the idea that crime should be analyzed in terms of both volume and seriousness. Crime rates are the most usual measure of the volume of criminality at a given time or a given place. Statistics Canada recently developed a Crime Severity Index to account for variations in the seriousness of police-recorded criminal infractions. A close look at its construction reveals that the Index is a weighted rate influenced by both the volume and the seriousness of recorded infractions. This article introduces a new indicator designed to measure the seriousness of recorded infractions. The measure is based on simple calculations and easy to interpret. It suggests that serious crime has decreased since the 1980s. It also suggests that city and province rankings based solely on crime rates are misleading because high levels of crime do not necessarily indicate high levels of the more serious crimes.