Who Belongs to Me? Social Relationship and Personality Characteristics in the Transition to Young Adulthood

Not much is known about how social network characteristics change in the transition out of school and what role Big Five personality plays in this context. The aim of this paper was twofold. First, we explored changes in social network and relationship characteristics across the transition out of secondary school. Second, we examined within‐person and between‐person effects of personality on these social network changes. Results based on a series of multilevel models to a longitudinal sample of 2287 young adults revealed four main findings. First, social networks increased in size, and this increase was mainly due to a larger number of nonkin. Stable social networks during the transition consisted mainly of family ties but were generally characterized by high closeness. Second, extraversion and openness consistently predicted network size, whereas agreeableness predicted network overlap. Third, increases in emotional closeness were found only for kin; closeness was generally lower for unstable relationships. Fourth, changes in emotional closeness were related to personality, particularly neuroticism, agreeableness, and conscientiousness for stable relationships; for unstable relationships, however, closeness was related to extraversion and openness. The article concludes by discussing the role of personality for social relationship development and the active moulding of social networks in young adulthood. Copyright © 2014 European Association of Personality Psychology     

School‐based humanistic counselling for psychological distress in young people: A practice research network to address the attrition problem

Aims: School‐based humanistic counselling (SBHC) is a common psychological intervention for young people, particularly in the UK. However, studies have tended to suffer from high attrition rates, such that effects may have been over‐estimated. This paper describes a low budget ‘star topology’ practice research network (PRN) outcome evaluation of SBHC in a sample where attrition rates were minimised. Design: A practice‐based longitudinal study in a small PRN compared levels of psychological distress at first and last session from session‐by‐session data. Multilevel regression modelling was used to identify predictors of outcomes. Methods: Eight counsellors working across 11 schools agreed to use session‐by‐session self‐rating on the Young Person's CORE (YP‐CORE) yielding data from 256 young people aged 11 to 17. Predictors of outcomes were analysed using multilevel regression analysis. Results: Mean levels of distress on the YP‐CORE reduced from 18.29 (SD = 7.32) at baseline to 9.10 (SD = 6.19) at endpoint, giving a baseline to endpoint effect size of 1.26 (95% CI = 1.06–1.46). Lower levels of psychological distress at endpoint were associated with male clients, younger age groups, greater rates of attendance at counselling, and bereavement as a presenting problem. Conclusions: This ‘star topology’ PRN focused on a single study and demonstrated that such a system can provide relatively low cost, high quality data. The data showed that SBHC is associated with large reductions in psychological distress, and that this cannot be attributed to the high attrition rates of previous datasets.     

Content and process priming: A review

The last forty years of social science research have produced over 12,000 articles on priming. The range, complexity, and novelty of priming effects are hard to comprehend, let alone explain, using a single model or perspective. In this review, we discuss content priming and process priming effects. We then propose an integrative model that can account for the combined results.     

Updating working memory in aircraft noise and speech noise causes different fMRI activations

The present study used fMRI/BOLD neuroimaging to investigate how visual‐verbal working memory is updated when exposed to three different background‐noise conditions: speech noise, aircraft noise and silence. The number‐updating task that was used can distinguish between “substitution processes,” which involve adding new items to the working memory representation and suppressing old items, and “exclusion processes,” which involve rejecting new items and maintaining an intact memory set. The current findings supported the findings of a previous study by showing that substitution activated the dorsolateral prefrontal cortex, the posterior medial frontal cortex and the parietal lobes, whereas exclusion activated the anterior medial frontal cortex. Moreover, the prefrontal cortex was activated more by substitution processes when exposed to background speech than when exposed to aircraft noise. These results indicate that (a) the prefrontal cortex plays a special role when task‐irrelevant materials should be denied access to working memory and (b) that, when compensating for different types of noise, either different cognitive mechanisms are involved or those cognitive mechanisms that are involved are involved to different degrees.     

Seeking help for non-suicidal self-injury: A social network analysis approach

Individuals who self-injure have consistently reported less perceived social support; yet, little is actually known about the support they seek out from others specifically for non-suicidal self-injury. The goal of this study was to explore characteristics of support networks of those who self-injure. Twenty-three percent reported not seeking support for self-injury, while the remaining reported smaller social networks than typical. Most participants sought help infrequently, and when they did, found supporters to be only moderately helpful. Network characteristics were found to relate to self-injury behavior and patterns emerged regarding supporters in the networks. Implications for advocacy and education are provided.     

Are support and social comparison compatible? Individual differences in the multiplexity of career‐related social networks

Social networks are crucial for helping people in their careers. Moreover, social identity is reflected in and influenced by individuals’ networks. To date, there is little knowledge on how these different functions of networks might interact. A survey in which 450 individuals provided information on 2,499 contacts in their social networks indicated both multiplexity and segmentation in networks. Contacts tended either to provide psychosocial support only or to provide instrumental support and serve as a standard for social comparison. The segmentation was stronger for individuals with an independent career orientation than for promotion‐oriented individuals. These findings contribute to the literature on social networks and careers by providing insights into how career orientation affects the multiplexity in career‐related social networks.     

Disclosing Sexual Assault Within Social Networks: A Mixed‐Method Investigation

Most survivors of sexual assault disclose their experiences within their social networks, and these disclosure decisions can have important implications for their entry into formal systems and well‐being, but no research has directly examined these networks as a strategy to understand disclosure decisions. Using a mixed‐method approach that combined survey data, social network analysis, and interview data, we investigate whom, among potential informal responders in the social networks of college students who have experienced sexual assault, survivors contact regarding their assault, and how survivors narrate the role of networks in their decisions about whom to contact. Quantitative results suggest that characteristics of survivors, their social networks, and members of these networks are associated with disclosure decisions. Using data from social network analysis, we identified that survivors tended to disclose to a smaller proportion of their network when many network members had relationships with each other or when the network had more subgroups. Our qualitative analysis helps to contextualize these findings.     

Mapping the Social World of Classrooms: A Multi‐Level,Multi‐Reporter Approach to Social Processes and Behavioral Engagement

Understanding the social context of classrooms has been a central goal of research focused on the promotion of academic development. Building on the current literature on classroom social settings and guided by a risk and protection framework, this study examines the unique and combined contribution of individual relationships and quality of classroom interactions on behavioral engagement among low‐income Latino students in kindergarten to fifth grade (N = 111). Findings indicate that individual relationships with teachers and peers and classroom quality, each independently predicted behavioral engagement. Moreover, high‐quality classrooms buffered the negative influence of students’ difficulties in individual relationships on behavioral engagement. Findings illuminate the need to consider multiple layers of social classroom relationships and interactions and suggest the potential benefit of targeting classroom quality as a mechanism for improving behavioral engagement in urban elementary schools.     

The Cognitive Social Network in Dreams: Transitivity,Assortativity, and Giant Component Proportion Are Monotonic

For five individuals, a social network was constructed from a series of his or her dreams. Three important network measures were calculated for each network: transitivity, assortativity, and giant component proportion. These were monotonically related; over the five networks as transitivity increased, assortativity increased and giant component proportion decreased. The relations indicate that characters appear in dreams systematically. Systematicity likely arises from the dreamer's memory of people and their relations, which is from the dreamer's cognitive social network. But the dream social network is not a copy of the cognitive social network. Waking life social networks tend to have positive assortativity; that is, people tend to be connected to others with similar connectivity. Instead, in our sample of dream social networks assortativity is more often negative or near 0, as in online social networks. We show that if characters appear via a random walk, negative assortativity can result, particularly if the random walk is biased as suggested by remote associations.