Exercise commitment and proneness to eating disorders in a group of physical education teachers

The study examined the association of exercise commitment with proneness to eating disorders in 50 physical education teachers who had been practicing various aerobic sports at least three times a week for at least 5 years. Significant coefficients were found between Commitment to Exercise Scale scores, the number of weekly training sessions, and scores on the Eating Disorders Inventory-2 scales measuring Maturity Fears, Social Insecurity, Perfectionism, and Asceticism. However, no relationship was found between the Commitment to Exercise Scale and the Eating Disorders Inventory-2 variables measuring anorexic tendencies (such as Drive for Thinness, Body Dissatisfaction, and Bulimia). Findings suggest the presence of some psychological factors common to both anorexic tendencies and excessive exercising but not complete overlap, so a rather more complex pattern of relationships appears to be mediated by sex and personality characteristics.     

Men Should Be Competent,Women Should Have it All: Multiple Criteria in the Evaluation of Female Job Candidates

Sex Roles - The present research investigated whether evaluations of female and male job candidates rely on different dimensions. Going beyond previous studies on the role of gender stereotypes, we...     

Homeless Adults’ Recovery Experiences in Housing First and Traditional Services Programs in Seven European Countries

Across Europe, as governments turn to housing-led strategies in attempts to reverse rising rates of homelessness, increasing numbers of Housing First (HF) programs are being implemented. As HF programs become more widespread, it is important to understand how service users experience them compared to the more prevalent traditional treatment-first approach to addressing long-term homelessness. Although there is a large body of research on service users’ experiences of Housing First compared to treatment-first in North American contexts, comparatively less is known about how these two categories of homeless services are experienced in the European context. In a correlational and cross-sectional study, part of a larger examination of homelessness in Europe, participants (n = 520) engaged with either HF (n = 245) or traditional services (TS; n = 275) programs in seven countries completed measures of their experiences of services (consumer choice, housing quality, and service satisfaction) and recovery (time in independent housing, psychiatric symptoms, and community integration). Across the seven countries, participants engaged with HF programs reported experiencing more consumer choice, better perceived housing quality, and more satisfaction with services than participants engaged in TS programs. Participants in HF programs also reported a greater proportion of time in independent accommodation, fewer psychiatric symptoms, and more community integration. Varying patterns of association between experiences of services and recovery outcomes were observed. Findings indicate HF consistently predicts greater recovery than TS across diverse sociopolitical and economic contexts. Implications of findings for configurations of homeless services and homeless services policy are discussed.     

Shrinkage estimation of the three-parameter logistic model

The three-parameter logistic model is widely used to model the responses to a proficiency test when the examinees can guess the correct response, as is the case for multiple-choice items. However, the weak identifiability of the parameters of the model results in large variability of the estimates and in convergence difficulties in the numerical maximization of the likelihood function. To overcome these issues, in this paper we explore various shrinkage estimation methods, following two main approaches. First, a ridge-type penalty on the guessing parameters is introduced in the likelihood function. The tuning parameter is then selected through various approaches: cross-validation, information criteria or using an empirical Bayes method. The second approach explored is based on the methodology developed to reduce the bias of the maximum likelihood estimator through an adjusted score equation. The performance of the methods is investigated through simulation studies and a real data example.     

Being Called a ‘Streber’: The Roles of Personality and Competition in the Labelling of Academically Oriented Students

The current research investigated a phenomenon that has received little attention so far: the labelling of students who are characterised by a strong academic orientation. We analysed whether personality predicts being labelled a ‘Streber’ (literally a person who strives for success; German origin, similar to the English word ‘nerd’) and labelling others as Strebers. Besides individual characteristics, we examined the impact of the classroom context. In Study 1 (N = 317), eighth‐grade students nominated classmates who were considered to be Strebers and provided self‐ratings on how often they had labelled others as Strebers. In Study 2 (N = 358), using a round robin design, we had students rate each of their classmates on the extent to which the students perceived their classmates to be Strebers. Results showed that being labelled was associated with introversion and conscientiousness. Labelling others was related to extraversion, low conscientiousness and low agreeableness. Furthermore, the labelling and the expected relation between individual characteristics and labelling were stronger in high‐achieving than in low‐achieving classes. Results are discussed with respect to personality traits as potential risk factors in peer stigmatisation and the impact of the classroom context. Copyright © 2012 European Association of Personality Psychology     

How Neighborhood Structural and Institutional Features Can Shape Neighborhood Social Connectedness: A Multilevel Study of Adolescent Perceptions

According to the norms and collective efficacy model, the levels of social connectedness within a local community are a function of neighborhood structural characteristics, such as socioeconomic status and ethnic composition. The current work aims to determine whether neighborhood structural and institutional features (neighborhood wealth, percentage of immigrants, population density, opportunities for activities and meeting places) have an impact on different components of neighborhood social connectedness (intergenerational closure, trust and reciprocity, neighborhood-based friendship and personal relationships with neighbors). The study involved a representative sample of 389 early and middle adolescents aged 11–15 years old, coming from 31 Italian neighborhoods. Using hierarchical linear modeling, our findings showed that high population density, ethnic diversity, and physical and social disorder might represent obstacles for the creation of social ties within the neighborhood. On the contrary, the presence of opportunities for activities and meeting places in the neighborhood was associated with higher levels of social connectedness among residents.     

Neural correlates of attention to emotional facial expressions in dysphoria

The present study investigated whether dysphoric individuals have a difficulty in disengaging attention from negative stimuli and/or reduced attention to positive information. Sad, neutral and happy facial stimuli were presented in an attention-shifting task to 18 dysphoric and 18 control participants. Reaction times to neutral shapes (squares and diamonds) and the event-related potentials to emotional faces were recorded. Dysphoric individuals did not show impaired attentional disengagement from sad faces or facilitated disengagement from happy faces. Right occipital lateralisation of P100 was absent in dysphoric individuals, possibly indicating reduced attention-related sensory facilitation for faces. Frontal P200 was largest for sad faces among dysphoric individuals, whereas controls showed larger amplitude to both sad and happy as compared with neutral expressions, suggesting that dysphoric individuals deployed early attention to sad, but not happy, expressions. Importantly, the results were obtained controlling for the participants' trait anxiety. We conclude that at least under some circumstances the presence of depressive symptoms can modulate early, automatic stages of emotional processing.     

Conscious and unconscious face recognition is improved by high-frequency rTMS on pre-motor cortex

Simulation process and mirroring mechanism appear to be necessary to the recognition of emotional facial expressions. Prefrontal areas were found to support this simulation mechanism. The present research analyzed the role of premotor area in processing emotional faces with different valence (positive vs. negative faces), considering both conscious and unconscious pathways. High-frequency rTMS (10 Hz) stimulation was applied to prefrontal area to induce an activation response when overt (conscious) and covert (unconscious) processing was implicated. Twenty-two subjects were asked to detect emotion/no emotion (anger, fear, happiness, neutral). Error rates (ERs) and response times (RTs) were considered in response to the experimental conditions. ERs and RTs decreased in case of premotor brain activation, specifically in response to fear, for both conscious and unconscious condition. The present results highlight the role of the premotor system for facial expression processing, supporting the existence of two analogous mechanisms for conscious and unconscious condition.     

Structural Modeling of Measurement Error in Generalized Linear Models with Rasch Measures as Covariates

This paper proposes a structural analysis for generalized linear models when some explanatory variables are measured with error and the measurement error variance is a function of the true variables. The focus is on latent variables investigated on the basis of questionnaires and estimated using item response theory models. Latent variable estimates are then treated as observed measures of the true variables. This leads to a two-stage estimation procedure which constitutes an alternative to a joint model for the outcome variable and the responses given to the questionnaire. Simulation studies explore the effect of ignoring the true error structure and the performance of the proposed method. Two illustrative examples concern achievement data of university students. Particular attention is given to the Rasch model.