Who participates,who does not,and why? An analysis of voluntary neighborhood organizations in the United States and Israel

Lack of participation in voluntary associations and the associated issues of why people do or do not participate are major areas of interest in the research literature concerning citizen participation. The present study used three types of variables (demographic, social psychological, and costs/benefits) to investigate the characteristics of participants and nonparticipants in neighborhood-type organizations in the United States and Israel. Findings from analysis of the demographic variables show some cross-cultural similarities (including a surprising lack of race/ethnic and education differences between participants and nonparticipants). There were striking cross-cultural similarities using the social psychological variables. The data from the Israel sample provide important information on the costs and benefits of participation. A discriminant analysis points to the predictive strength of social psychological and cost/benefit variables in comparison to demographic variables. Implications of these results for explanatory and predictive purposes are discussed.     

Romanian social workers facing the challenges of neo-liberalism

ABSTRACT

With a history of almost 90 years, professional social work in Romania once flourished up until World War II. The Communist Party disbanded the profession in 1968 and it was reinstated after the fall of the Iron Curtain in 1989. Within the context of the socio-economic transition from a centralised to a free-market economy, Romanian social policy and social work have evolved from a Marxist/socialist-type ideology, one that advocates for state intervention, to a libertarian/neo-liberal-type ideology, which promotes both state withdrawal from welfare provision and individuals taking responsibility for their own welfare. These two trends continue to co-exist subject to sometimes divergent forces such as international institutions and internal Romanian social pressures. Using a qualitative approach, we explore how Romanian social workers are adapting to the neo-liberal realities and identify three types of perceived challenges: 1. those related to regulation, 2. linked with collaboration in social work activity and 3. those related to the social worker-client relationship. Under neo-liberal pressures, the social worker's role of agent of social change becomes marginalised in daily practice, leaving little power to influence agency policies that negatively impact clients.     

When Nonverbal Greetings “Make It or Break It”: The Role of Ethnicity and Gender in the Effect of Handshake on Social Appraisals

Despite previous evidence identifying the role of ethnic and gender differences in nonverbal communication, few studies have comprehensively investigated the role of these factors in the effect of handshake on appraisals of social interactions. Here, 88 young adults (with equal proportions of Caucasians and East Asians, and women and men) observed and evaluated a series of movies illustrating guest–host interactions in a business setting. Each interaction started with a greeting protocol initiated by the host, which, in half of the trials, involved a handshake. The greeting was followed by a display of behaviors either encouraging (approach) or discouraging (avoidance) further interaction. Ethnicity and gender of the hosts were manipulated to depict the same categories represented by participants. First, the effect of handshake on appraisals of social interactions was more positive in Caucasian than in East Asian participants. Second, the effect of handshake on appraisals of social interactions was more positive for male than for female hosts in male participants, whereas such differences were not observed in female participants. Third, appraisals of social interactions involving approach and avoidance behaviors were more positive in Caucasian than in East Asian participants. Finally, appraisals of social interactions involving approach behaviors were more positive in female than in male participants. Overall, these findings shed light on the role of ethnic and gender differences in the appraisal of nonverbal behaviors, and extend our understanding of factors that may lead to successful social interaction in the context of growing diversity in our society.     

Do Socially Anxious Children Show Deficits in Classifying Facial Expressions of Emotions?

Studies with socially anxious adults suggest that social anxiety is associated with problems in decoding other persons' facial expressions of emotions. Corresponding studies with socially anxious children are lacking. The aim of the present study was to test whether socially phobic children show deficits in classifying facial expressions of emotions or show a response bias for negative facial expressions. Fifty socially anxious and 25 socially non-anxious children (age 8 to 12) participated in the study. Pictures of faces with either neutral, positive (joyful) or negative (angry, disgusted, sad) facial expressions (24 per category) were presented for 60 ms on a monitor screen in random order. The children were asked to indicate by pressing a key whether the facial expression was neutral, positive, or negative, and to rate how confident they were about their classification. With regard to frequency of errors the socially anxious children reported significantly more often that they saw emotions when neutral faces were presented. Moreover, reaction times were longer. However, they did not feel less certain about their performance. There is neither an indication of an enhanced ability to decode negative facial expressions in socially anxious children, nor was there a specific tendency to interpret neutral or positive faces as negative.     

Family Therapy for Child and Youth Mental Health: A Scoping Literature Review

Early intervention in childhood years is an important part of successful therapies for children and adolescents living with or at risk of mental illness. Family therapy acknowledges the role of family relationships, interactions, and family systems in child and youth mental health. To explore the effectiveness and delivery of family therapy in order to inform current family therapy practice in Australian public mental health services, a scoping literature review mapped key concepts of the past 11 years of family therapy research. Current gaps were noted within the following key concepts: family therapy settings and definitions, the influence of family factors on outcomes, transparency of intervention methods, and the training of family therapists. Further research could be undertaken to address current gaps in the literature, specifically: assessment and intervention processes; typical length of time for a series of family sessions; frequency of sessions; and theoretical foundations linked with most effective outcomes, as identified by clinicians, children, and their families. This research would provide a better understanding of best practice and evidence‐based family therapy practices that work for children and their families to inform family therapy practice in Australia and beyond. This scoping literature review identified that there is a noteworthy variation in the way brief family therapy is provided, both in terms of the duration and frequency of sessions, as well as the theoretical underpinnings employed. Further research is warranted to explore different service contexts and brief versions of family therapy delivery and the outcomes for the children and their families.     

Populism and social media: how politicians spread a fragmented ideology

Populism is a relevant but contested concept in political communication research. It has been well-researched in political manifestos and the mass media. The present study focuses on another part of the hybrid media system and explores how politicians in four countries (AT, CH, IT, UK) use Facebook and Twitter for populist purposes. Five key elements of populism are derived from the literature: emphasizing the sovereignty of the people, advocating for the people, attacking the elite, ostracizing others, and invoking the ‘heartland’. A qualitative text analysis reveals that populism manifests itself in a fragmented form on social media. Populist statements can be found across countries, parties, and politicians’ status levels. While a broad range of politicians advocate for the people, attacks on the economic elite are preferred by left-wing populists. Attacks on the media elite and ostracism of others, however, are predominantly conducted by right-wing speakers. Overall, the paper provides an in-depth analysis of populism on social media. It shows that social media give the populist actors the freedom to articulate their ideology and spread their messages. The paper also contributes to a refined conceptualization and measurement of populism in future studies.     

MODEL SELECTION FOR PENALIZED SPLINE SMOOTHING USING AKAIKE INFORMATION CRITERIA

Two different forms of Akaike's information criterion (AIC) are compared for selecting the smooth terms in penalized spline additive mixed models. The conditional AIC (cAIC) has been used traditionally as a criterion for both estimating penalty parameters and selecting covariates in smoothing, and is based on the conditional likelihood given the smooth mean and on the effective degrees of freedom for a model fit. By comparison, the marginal AIC (mAIC) is based on the marginal likelihood from the mixed‐model formulation of penalized splines which has recently become popular for estimating smoothing parameters. To the best of the authors' knowledge, the use of mAIC for selecting covariates for smoothing in additive models is new. In the competing models considered for selection, covariates may have a nonlinear effect on the response, with the possibility of group‐specific curves. Simulations are used to compare the performance of cAIC and mAIC in model selection settings that have correlated and hierarchical smooth terms. In moderately large samples, both formulations of AIC perform extremely well at detecting the function that generated the data. The mAIC does better for simple functions, whereas the cAIC is more sensitive to detecting a true model that has complex and hierarchical terms.