Good Athlete – Bad Athlete? on the ‘Role-Model Argument’ for Banning Performance-Enhancing Drugs

The paper critically discusses a role-model argument (RMA) in favour of banning performance-enhancing drugs in sport. The argument concludes that athletes should be banned from using performance-enhancing drugs because if they are allowed to use such drugs they will encourage, or cause, youngsters who look up to them to use drugs in a way that would be harmful. In Section 2 the structure of the argument and some versions of it are presented. In Section 3 a critical discussion of RMA is presented. It is argued that we should be reluctant to accept the argument as it stands for at least three reasons: (i) it rests on an unsupported empirical claim; (ii) it also makes a false empirical claim; and (iii) the normative premise of the argument is too demanding morally. Further objections to the RMA are also discussed, but argued to be beside the point     

Negation: A theory of its meaning,representation, and use

This article presents a model-based theory of what negation means, how it is mentally represented, and how it is understood. The theory postulates that negation takes a single argument that refers to a set of possibilities and returns the complement of that set. Individuals therefore tend to assign a small scope to negation in order to minimize the number of models of possibilities that they have to consider. Individuals untrained in logic do not know the possibilities corresponding to the negation of compound assertions formed with if, or, and and, and have to infer the possibilities one by one. It follows that negations are easier to understand, and to formulate, when individuals already have in mind the possibilities to be negated. The paper shows that the evidence, including the results of recent studies, corroborates the theory.     

Grounding Bayesian accounts of numerosity and variability effects in a similarity-based framework: the case of self-organising maps

ABSTRACT

In this paper, we propose self-organising maps as possible candidates to explain the psychological mechanisms underlying category generalisation. Self-organising maps are psychologically and biologically plausible neural network models that can learn after limited exposure to positive category examples, without any need of contrastive information. They reproduce human behaviour in category generalisation, in particular, the Numerosity and Variability effects, which are usually explained with Bayesian tools. Where category generalisation is concerned, self-organising maps deserve attention to bridge the gap between the computational level of analysis in Marr's hierarchy (where Bayesian models are often situated) and the algorithmic level of analysis in which plausible mechanisms are described.     

The role of body image in the prevention of eating disorders

This article reviews theory and research pertaining to prevention of negative body image and eating disorders. Research derived from the social cognitive model (SCM) and non-specific vulnerability-stressor (NSVS) model indicates that sustained prevention effects for attitudes and behaviors are possible, but not easy to achieve or explain. These limitations are considered in the context of promising research derived from a third model, critical social perspectives (CSP). We conclude that (1) research on practice should aim beyond the examination of efficacy in order to clarify the active ingredients contributing to prevention; and (2) research informed by each of the divergent perspectives can be used to enrich theory and practice in the field of eating disorders prevention.     

Heterogeneous factor analysis models: A bayesian approach

Multilevel factor analysis models are widely used in the social sciences to account for heterogeneity in mean structures. In this paper we extend previous work on multilevel models to account for general forms of heterogeneity in confirmatory factor analysis models. We specify various models of mean and covariance heterogeneity in confirmatory factor analysis and develop Markov Chain Monte Carlo (MCMC) procedures to perform Bayesian inference, model checking, and model comparison.We test our methodology using synthetic data and data from a consumption emotion study. The results from synthetic data show that our Bayesian model perform well in recovering the true parameters and selecting the appropriate model. More importantly, the results clearly illustrate the consequences of ignoring heterogeneity. Specifically, we find that ignoring heterogeneity can lead to sign reversals of the factor covariances, inflation of factor variances and underappreciation of uncertainty in parameter estimates. The results from the emotion study show that subjects vary both in means and covariances. Thus traditional psychometric methods cannot fully capture the heterogeneity in our data.     

Introduction: Attaining a New Stage

The current issue of The Journal of Adult Development addresses one of the threads of adult development, namely stage and stage change. There are four major forms of adult developmental study that can be identified: positive adult development, directionless change, stasis, and decline. The first of the four forms, positive adult developmental processes, is divided into at least six areas of study: hierarchical complexity (orders, stages), knowledge, experience, expertise, wisdom, and spirituality. The topic of this special issue, stage and stage change, is therefore part of the study of positive adult developmental processes. Finally, the manner in which these topics are studied both in this special issue and elsewhere can be characterized in terms of three broad classifications (Commons & Bresette, 2000, Commons & Miller, 1998) for the acquisition of knowledge and the verification of truth in general. These classifications include analytic, experiential, and empirical means to reach truth.     

Increasing Behavioral Skills and Level of Understanding in Adults: A Brief Method Integrating Dennison's Brain Gym & #x00AE; Balance with Piaget's Reflective Processes

A single session intervention was given individually to 4 adults in order to assist them in achieving their personal goals by improving their behavioral skills for achieving the goals and their conceptual understanding of & #x201C;how to & #x201D; attain these goals. The method was based on a brain-ability analysis of understanding & #x201C;conservation & #x201D; on Jean Piaget's conservation tasks combined with Paul and Gail Dennison's Brain Gym & #x201C;balance & #x201D; procedure. My & #x201C;whole brain understanding & #x201D; model (C. A. Wolfsont, 1999, 2000) and M. L. Commons et al.'s Hierarchical Complexity Scoring System manual were used to analyze the verbal protocols (M. L. Commons et al., 1992; Commons, Danaher, & Meaney, 2000). Increases were found in the participants' conceptual understanding and in the complexity of their performance.     

A Self-Management Program for Adolescents and Children with Renal Transplantation

This paper describes the development and implementation of a self-management program designed to address noncompliance in adolescents with renal transplants. Transplantation provides the best treatment alternative for End-Stage Renal Disease (ESRD), but is a procedure that subsequently demands recipients follow a life-long medication regimen. Nonadherance to medical therapy is a serious problem for adolescents; it is one of the most common causes of chronic graft rejection in this population. To improve compliance rates for this population, a self-management program was designed: (1) to provide social support; (2) to review information about medications and transplant management; and (3) to both teach and provide transplantation patients the opportunity to practice self-management skills. Details about the program, including recruitment issues and session content, are provided. Evaluations by participants indicated that the program was effective in creating a supportive environment for both patients and their parents, and in addressing health-related concerns.