Contributions and Challenges to Clinical Practice from Buddhist Psychology

Psychotherapy is considered to belong to a branch of medicine, and adheres to many conventions of the medical model. As psychotherapists continue to embrace mindfulness (a foundational practice derived from Buddhist psychology), the way we understand suffering and what is to be done about it may be informed by the insights gained in mindfulness practice. Some of these insights depart in degree and in type from the assumptions underlying the medical model, as well as from prevalent ideas of suffering, treatment, and most challenging, the idea of the self who is assumed to be at the center of suffering. By examining a number of influences of mindfulness on clinical practice, the author suggests subtle and potentially radical influences on the way we think of the healing process. It is hypothesized that the Buddhist model may offer a transtheoretical and transcultural model of suffering and its treatment.     

The Risk of James–Stein and Lasso Shrinkage

This article compares the mean-squared error (or ?₂ risk) of ordinary least squares (OLS), James–Stein, and least absolute shrinkage and selection operator (Lasso) shrinkage estimators in simple linear regression where the number of regressors is smaller than the sample size. We compare and contrast the known risk bounds for these estimators, which shows that neither James–Stein nor Lasso uniformly dominates the other. We investigate the finite sample risk using a simple simulation experiment. We find that the risk of Lasso estimation is particularly sensitive to coefficient parameterization, and for a significant portion of the parameter space Lasso has higher mean-squared error than OLS. This investigation suggests that there are potential pitfalls arising with Lasso estimation, and simulation studies need to be more attentive to careful exploration of the parameter space.     

Enhancing the Career Planning Self-Determination of Young Adults with Mental Health Challenges

The impact of an intervention on the self-determination and career planning engagement of young adults with mental health challenges was studied. Sixty-seven young adults, 20 to 30 years of age, with mental health diagnoses (e.g., depression, bipolar disorder) were randomly assigned to intervention and control groups. Statistically significant greater increases were made by the intervention group versus the control group for self-determination and career planning engagement, and self-determination at least partially mediated increases in career planning engagement. With career planning self-determination interventions, young adults with mental health challenges might be able to achieve better career and life outcomes than is typical for this population.     

Sociology and the European Court of Human Rights

This article offers a sociological analysis of the jurisprudence of the European Court of Human Rights (ECtHR). Adopting a sociological jurisprudence approach, the article aims to demonstrate the unique and valuable contribution that sociology can make to understanding key aspects of international human rights law. Whilst the article seeks to develop an agenda for critical sociological research on human rights law, it also aims to persuade those charged with the supervision of human rights of the value of sociological analysis. To achieve this, the article focuses on three separate but inter‐related aspects of ECtHR jurisprudence: first, it considers the ECtHR's approach to consensus in its adjudication of human rights complaints; second, it examines the social control implications of the ECtHR's decisions and judgments; and third, it assesses how conceptualizations of social identity are often foundational to the ECtHR's reasoning.     

The distinct role of group-central and group-peripheral norms in taxpaying behaviour

In recent years, a social identity approach has been used to help understand why people do or do not pay tax [see Taylor, 2003; Wenzel, M., 2002. The impact of outcome orientation and justice concerns on tax compliance: the role of taxpayers’ identity. Journal of Applied Psychology 87, 629–645; Wenzel, M., 2004. An analysis of norm processes in tax compliance. Journal of Economic Psychology 25, 213–228; Wenzel, M., 2005. Misperception of social norms about tax compliance: from theory to intervention. Journal of Economic Psychology 26, 862–883; Wenzel, M., 2007. The multiplicity of taxpayer identities and their implications for tax ethics. Law & Policy 29, 31–50]. This research, which has focused almost exclusively on national identity, indicates that the more people identify with a group, the more likely they are to adhere to its tax norms and values. However, conformity to group norms may be more nuanced than this, and depend on (a) the meaning or content of the identity in question [e.g., Turner, J.C., 1999. Some current themes in research on social identity and self-categorization theories. In: Ellemers, N., Spears, R., Doojse, B. (Eds.), Social Identity: Context, Commitment, Content. Blackwell, Oxford, pp. 6–34] and (b) whether the norms and values are central or peripheral to the content of that identity. In line with this idea, two studies explored whether the concept and act of taxpaying are more central to what it means to be a member of one's nation than of one's occupational group. Both studies confirm this expectation. Importantly, the findings also suggest that although occupational groups have different norms and values in relation to pre-tax behaviours (e.g., how to deal with extra income), these too can be peripheral to what it means to a group member. If norms are peripheral to identity content, conformity to such norms may be independent of group identification.     

Bayesian analysis of a multiple-recapture model

In the Bayesian analysis of a multiple-recapture census, different diffuse prior distributions can lead to markedly different inferences about the population size N. Through consideration of the Fisher information matrix it is shown that the number of captures in each sample typically provides little information about N. This suggests that if there is no prior information about capture probabilities, then knowledge of just the sample sizes and not the number of recaptures should leave the distribution of Nunchanged. A prior model that has this property is identified and the posterior distribution is examined. In particular, asymptotic estimates of the posterior mean and variance are derived. Differences between Bayesian and classical point and interval estimators are illustrated through examples.