The health consequences of trafficking in women in Mexico: findings from Monterrey city

There has been little research on the health consequences of trafficking in women in Mexico and this study examines the effects of trafficking in women. Twenty internally trafficked women were interviewed in Monterrey city, Mexico, during the years 2007 and 2008. Although the study found that trafficking of women in Mexico results from multi-causal factors, we found that in general trafficked women suffer a wide range of physical and sexual violence. This has direct consequences on their physical and mental health and in particular their sexual health.     

Community-based Arts Program for Youth in Low-Income Communities: A Multi-Method Evaluation

This article reports on a multi-method evaluation of a national arts program conducted over 3 years in five sites across Canada. Statistical analysis involve growth curve modeling of five waves of data and interviews with participating youth and parents. The results indicate that high-quality arts programs have a significant effect on children’s in-program behavior and emotional problems. The findings from the qualitative interviews suggest that active recruitment, removing barriers to participation, and high parental involvement enhanced youth engagement. Perceived youth gains included increased confidence, enhanced art skills, improved prosocial skills, and improved conflict resolution skills.     

Foster care in India: An exploratory survey of the community perceptions and prospects for implementation of foster care in a developing nation: A study in Udaipur,Rajasthan, India

This study was conducted in order to assess the prospects for implementing foster care as an alternative to the dominant system of institutional care available to orphaned and abandoned children in India. 653 families in urban Udaipur participated in a mixed-methods based assessment of receptivity to foster and adoptive care. The majority of those who responded reported receptivity to the idea of foster care as an alternative to institutional care. However, analyses demonstrated that respondents also perceived barriers to implementing systematic foster care, particularly with regard to family recruitment due to problems securing family and community support for participation. The results are discussed in light of governmental calls for non-governmental organization and other stakeholders to institute alternatives to foster and adoptive care. The results of this study have applied significance for organizations and practitioners seeking to implement care alternatives for orphan and abandoned children in India.     

Bayesian analysis of the linear regression model with an edgeworth series prior distribution

The purpose of the present investigation 1s to observe the effect of departure from normahty of the prior distribution of regresslon parameters on the Bayman analysis of a h e a r regresslon model Assuming an Edgeworth serles prior distribution for the regresslon coefficients and gamma prior for the disturbances precision, the expressions for the posterlor distribution, posterlor mean and Bayes risk under a quadratic loss function are obtalned The results of a numerical evaluation are also analyzed     

Bayesian predictive analysis of the linear regression model with an edgeworth series prior distribution

In this paper we obtain the Bayes forecasts for the future observations on the dependent variable in the linear regression model when the regression coefficients have an Edgeworth series prior distribution. Furthermore, we consider the effect of departure from normality of the prior distribution of regression coefficients on the Bayes forecasts.     

BAYESIAN ANALYSIS OF THE LINEAR REGRESSION MODEL WITH NON-NORMAL DISTURBANCES

This paper considers the Bayesian analysis of a linear regression model with identically independently distributed non-normal disturbances. The distribution of disturbances is approximated by an Edgeworth series distribution with cumulants, of order higher than fourth, negligible. The posterior distribution of the regression coefficients vector is obtained under the assumption of a g-prior distribution for the parameters of the model. The Bayes estimator and its Bayes risk of the estimator are derived under a quadratic loss structure.