The Role of Religion and Stress in Sexual Identity and Mental Health Among Lesbian,Gay, and Bisexual Youth

This study investigated religious stress, gay‐related stress, sexual identity, and mental health outcomes in lesbian, gay, and bisexual (LGB) adolescents and emerging adults. The model examined negative LGB identity as a mediator of the relationships between (1) religious stress and mental health, and (2) gay‐related stress and mental health. The data indicated that negative LGB identity fully accounted for both relationships. Findings suggest that a negative sense of sexual identity for LGB youth helps explain the links between religious and gay‐related stressors and mental health. As LGB youth may have limited control over these stressors, the importance of helping LGB youth maintain a positive LGB identity, despite homonegative messages from others, is discussed.     

Beyond Heroes and Victims: Filipina Contract Migrants,Economic Activism and Class Transformations

This article employs anti-essentialist Marxist analysis to shed light on the diverse economic activities that Filipina contract migrants are engaged in at home and overseas. We point to the limitations of dominant representations of these women as 'heroes' of national development or 'victims' of a global capitalist economy, which tend to foreclose a discussion of multiple class processes engendered by transnational labour migration. In drawing on a fluid theory of class, we investigate how contract domestic workers are involved in multiple class processes that allow them to produce, appropriate and distribute surplus labour in innovative ways. We also discuss the activities of the Asian Migrant Centre, a non-governmental organization working with domestic workers in Hong Kong, whose efforts to inspire the entrepreneurial aspirations of these women reflect the importance of recognizing migrant workers' multiple economic identities. This analysis has implications for how we imagine the agency of contract workers, as well as the performativity of research and advocacy work.     

Number of predictors and multicollinearity: What are their effects on error and bias in regression?

The present Monte Carlo simulation study adds to the literature by analyzing parameter bias, rates of Type I and Type II error, and variance inflation factor (VIF) values produced under various multicollinearity conditions by multiple regressions with two, four, and six predictors. Findings indicate multicollinearity is unrelated to Type I error, but increases Type II error. Investigation of bias suggests that multicollinearity increases the variability in parameter bias, while leading to overall underestimation of parameters. Collinearity also increases VIF. In the case of all diagnostics however, increasing the number of predictors interacts with multicollinearity to compound observed problems.     

Inference in the presence of redundant moment conditions and the impact of government health expenditure on health outcomes in England

In his 1999 article with Breusch, Qian, and Wyhowski in the Journal of Econometrics, Peter Schmidt introduced the concept of “redundant” moment conditions. Such conditions arise when estimation is based on moment conditions that are valid and can be divided into two subsets: one that identifies the parameters and another that provides no further information. Their framework highlights an important concept in the moment-based estimation literature, namely, that not all valid moment conditions need be informative about the parameters of interest. In this article, we demonstrate the empirical relevance of the concept in the context of the impact of government health expenditure on health outcomes in England. Using a simulation study calibrated to this data, we perform a comparative study of the finite performance of inference procedures based on the Generalized Method of Moment (GMM) and info-metric (IM) estimators. The results indicate that the properties of GMM procedures deteriorate as the number of redundant moment conditions increases; in contrast, the IM methods provide reliable point estimators, but the performance of associated inference techniques based on first order asymptotic theory, such as confidence intervals and overidentifying restriction tests, deteriorates as the number of redundant moment conditions increases. However, for IM methods, it is shown that bootstrap procedures can provide reliable inferences; we illustrate such methods when analysing the impact of government health expenditure on health outcomes in England.     

Hierarchical Bayesian level set inversion

The level set approach has proven widely successful in the study of inverse problems for interfaces, since its systematic development in the 1990s. Recently it has been employed in the context of Bayesian inversion, allowing for the quantification of uncertainty within the reconstruction of interfaces. However, the Bayesian approach is very sensitive to the length and amplitude scales in the prior probabilistic model. This paper demonstrates how the scale-sensitivity can be circumvented by means of a hierarchical approach, using a single scalar parameter. Together with careful consideration of the development of algorithms which encode probability measure equivalences as the hierarchical parameter is varied, this leads to well-defined Gibbs-based MCMC methods found by alternating Metropolis–Hastings updates of the level set function and the hierarchical parameter. These methods demonstrably outperform non-hierarchical Bayesian level set methods.     

Tables for computing shortest confidence intervals involving the f-distribution

Tables of multipliers necessary for computing the shortest confidence interval in situations involving the F-distribution are presented. Such situations are illustrated with several examples.     

Investigation of the robustness of two models for assessing synergy in pre‐clinical drug combination studies

Pre‐clinical studies may be used to screen for synergistic combinations of drugs. The types of in vitro assays used for this purpose will depend upon the disease area of interest. In oncology, one frequently used study measures cell line viability: cells placed into wells on a plate are treated with doses of two compounds, and cell viability is assessed from an optical density measurement corrected for blank well values. These measurements are often transformed and analysed as cell survival relative to untreated wells. The monotherapies are assumed to follow the Hill equation with lower and upper asymptotes at 0 and 1, respectively. Additionally, a common variance about the dose–response curve may be assumed. In this paper, we consider two models for incorporating synergy parameters. We investigate the effect of different models of biological variation on the assessment of synergy from both of these models. We show that estimates of the synergy parameters appear to be robust, even when estimates of the other model parameters are biased. Using untransformed measurements provides better coverage of the 95% confidence intervals for the synergy parameters than using transformed measurements, and the requirement to fit the upper asymptote does not cause difficulties. Assuming homoscedastic variances appears to be robust. The added complexity of determining and fitting an appropriate heteroscedastic model does not seem to be justified. Copyright © 2013 John Wiley & Sons, Ltd.     

Changes in racial identification and the educational attainment of American Indians, 1970–1990

We use data from the 1970, 1980, and 1990 census public-use files to assess the impact of newly identified Indians on the educational attainment of American Indians who were at least 25 years old in 1970. We test the hypotheses that this impact was limited to metropolitan areas and to states with small Indian populations. We find that educational attainment for American Indians rose sharply between 1970 and 1990 and that changes in racial identification were an important component of this increase in 1980 but not in 1990. Increases in educational attainment were concentrated in metropolitan areas and occurred in states with large and small Indian populations.     

Suicide and the Creative Class

The tenth leading cause of death in the United States in 2009 was suicide. Emile Durkheim demonstrated that suicide can be studied as a social phenomenon. However, sociologists have been oddly silent on the subject in recent years. Research that has been done by sociologists on suicide has examined the role social capital plays in reducing suicide. However, Richard Florida has argued that today communities are not developing around social capital, but instead moving toward his creative capital model. No study has been done examining the association between creative capital and suicide. This analysis examined what developing around a creative capital model means for suicide. The findings demonstrate that there is a positive association between creative capital and suicide. The current analysis should give pause to communities attempting to develop around the creative capital model.     

Perceptions of Stigmatization and Satisfaction with Services Received,Among Users of Social Welfare Services for the Child and the Family in 3 European Regions

A system of psychosocial indicators, based on atheoretical model describing stigma perceptions byusers and practitioners of social welfare services forchildren and their families, was tested in 3 Europeanregions: Catalonia (Spain), Wales and the Netherlands.Data collection from users included questions on theirsatisfaction with the professional providing theservice and on their involvement in decisions abouthim/her and his/her family. In the Catalan sample oneadditional item asked about satisfaction with theoverall support received.Multiple correspondence analysis showed a consistentpattern of answers for our construct stigmaperceptions, using our indicators system.Discriminant analysis showed that our model works withattributions as expected in 86,32% of cases.Surprisingly, in the discriminant analysis all thesatisfaction indicators were excluded by the stepwisemethod, showing no strong relation between stigmaperception related to a service, and satisfactionusing such a service.Such results suggest that service users clearlydiscriminate between the fact that a service isfunctioning in a stigmatizing way, and the fact theyare satisfied or not with the practitioner helpingthem, with services involving them in decisions, orwith the overall support received from welfareservices.