Familism Values,Perspective Taking,and Prosocial Moral Reasoning: Predicting Prosocial Tendencies Among Mexican American Adolescents

Mexican American youth often engage in relatively high levels of prosocial behaviors. We theorize that this may be due to a cultural value system that encourages familism values, which, in turn, may foster the development of sociocognitive processes that promote prosocial behaviors. Two hundred and five Mexican American early adolescent youth (M_age = 10.9 years, SD = 0.84; 51% girls) reported their familism values, perspective taking, prosocial moral reasoning, and six types of prosocial behaviors. The results indicated that perspective taking partially mediated the relation between familism values and the specific prosocial tendencies theoretically linked to the Mexican American culture. The study demonstrated the utility of integrating cultural and traditional developmental mechanisms in attempting to explain prosocial behaviors.     

Variable selection in partial linear regression with functional covariate

The problem of variable selection is considered in high-dimensional partial linear regression under some model allowing for possibly functional variable. The procedure studied is that of nonconcave-penalized least squares. It is shown the existence of a √n/s_n-consistent estimator for the vector of p_n linear parameters in the model, even when p_n tends to ∞ as the sample size n increases (s_n denotes the number of influential variables). An oracle property is also obtained for the variable selection method, and the nonparametric rate of convergence is stated for the estimator of the nonlinear functional component of the model. Finally, a simulation study illustrates the finite sample size performance of our procedure.     

Adaptive wavelet estimation of a density from mixtures under multiplicative censoring

In this paper, a mixture model under multiplicative censoring is considered. We investigate the estimation of a component of the mixture (a density) from the observations. A new adaptive estimator based on wavelets and a hard thresholding rule is constructed for this problem. Under mild assumptions on the model, we study its asymptotic properties by determining an upper bound of the mean integrated squared error over a wide range of Besov balls. We prove that the obtained upper bound is sharp.     

‘Leave no one behind’ and the challenge of intersectionality: Christian Aid's experience of working with single and Dalit women in India

The principle of ‘leaving no one behind’ is strongly emerging as a defining aspect of the new development framework under negotiation in 2015. This stems from an acknowledgement of the failure of the Millennium Development Goals in securing benefits for the most marginalised groups, those suffering from economic deprivation and discrimination as a result of intersecting inequalities. As the new development framework takes shape, national-level experiences of tackling intersecting inequalities can provide lessons on the shifts required in policy and practice to address the specific needs of women experiencing deprivation, violence, and discrimination because of their gender and other identities. This case study illustrates lessons learnt from Christian Aid's programmatic experience in several states of India in support of Dalit women and single women as they individually and collectively struggle to gain dignity and realise their rights.     

Disability, social exclusion and the consequential experience of justiciable problems

In this article, we examine the situation of disabled people in England and Wales with regard to one specific aspect of social exclusion—experience of justiciable problems, and the potential effects such problems can have on their lives. Having defined 'disability', we examine how this fits within the wider dialogue on social exclusion issues. By analysing the results of the Legal Services Research Centre's (LSRC) periodic survey of justiciable problems, we find that disabled respondents were not only more likely to experience a problem, they also experienced more problems. Increased likelihood of a problem was observed in the majority of problem categories and particularly those relating to issues of social exclusion, such as housing and welfare benefits. This propensity to experience multiple problems can lead to a negative impact on the lives of long-term ill and disabled people.     

Corporate political power and US foreign policy, 1981–2002: the role of the policy-planning network

Theory and Society - Recent empirical work has offered strong support for ‘biased pluralism’ and ‘economic elite’ accounts of political power in the United States, according...     

Growing the Volunteer Pool: Identifying Non-Volunteers Most Likely to Volunteer

There are ongoing management and societal challenges affecting volunteering participation. These place a premium on organizations identifying individuals that currently do not volunteer but have the willingness and capacity to do so, the “Potentials”. Supplementing the limited non-volunteer literature, we seek to quantify this potential volunteer pool using constructs aligned to the willingness, capability and availability dimensions from Meijs et al.’s (Volunt Action 8:36–54, 2006) volunteerability framework. Using binary logistic regression testing with a nationally representative sample of Australian volunteers and non-volunteers, we found partial support for the framework’s willingness and capability dimensions determining volunteer status. We then applied a predictive equation to the non-volunteer sample to calculate their percentage likelihood of volunteering, to identify a cohort of “Potential” volunteers. Further testing revealed statistically significant differences between this cohort compared to other non-volunteers based on various interventions for promoting volunteering. The implications of our novel study and an associated research agenda are discussed.