This 1-year longitudinal study examined the effects of membership in socially withdrawn peer groups on children's social and psychological adjustment in a sample of 979 children (417 boys, 562 girls, M age = 11.84 years). Data on children's social and psychological adjustment and problems were collected from peer nominations and self-reports in the fall and spring of a single academic year. Using the Social Cognitive Map, 162 peer groups were identified. Multilevel analyses showed that affiliation with withdrawn groups negatively predicted social competence and school attitude, and positively predicted victimization and depression. The results suggest that affiliation with socially withdrawn groups is a risk factor for the development of social and psychological problems.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10802-015-0120-xDOI Listing

Publication Analysis

Top Keywords

social psychological
16
socially withdrawn
12
withdrawn groups
12
children's social
12
psychological adjustment
12
affiliation socially
8
groups children's
8
peer groups
8
social
6
groups
5

Similar Publications

Psychological distress, including anxiety or mood disorders, emanates from the onset of chronic/unpredictable stressful events. Symptoms in the form of maladaptive behaviors are learned and difficult to treat. While the origin of stress-induced disorders seems to be where learning and stress intersect, this relationship and molecular pathways involved remain largely unresolved.

View Article and Find Full Text PDF

Persuasive appeals frequently prove ineffective or produce unintended outcomes, due to the presence of motivated reasoning. Using the example of electric cars adoption, this research delves into the impact of emotional content, message valence, and the coherence of pre-existing attitudes on biased information evaluation. By conducting a factorial survey (N = 480) and incorporating a computational model of attitude formation, we aim to gain a deeper insight into the cognitive-affective mechanisms driving motivated reasoning.

View Article and Find Full Text PDF

The ways people imagine possible futures with artificial intelligence (AI) affects future world-making-how the future is produced through cultural propagation, design, engineering, policy, and social interaction-yet there has been little empirical study of everyday people's expectations for AI futures. We addressed this by analysing two waves (2021 and 2023) of USA nationally representative data from the Artificial Intelligence, Morality, and Sentience (AIMS) survey on the public's forecasts about an imagined future world with widespread AI sentience (total N = 2401). Average responses to six forecasts (exploiting AI labour, treating AI cruelly, using AI research subjects, AI welfare, AI rights advocacy, AI unhappiness reduction) showed mixed expectations for humanity's future with AI.

View Article and Find Full Text PDF

Introduction: The transition from paediatric to adult health care (i.e., 'health care transition') poses many challenges for youth with medical complexity (YMC) and their families.

View Article and Find Full Text PDF

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!