Leveraging the social network for treatment of social anxiety: Pilot study of a youth-specific digital intervention with a focus on engagement of young men

A pilot study was conducted in preparation for an extensive analysis of the social network characteristics of mildly mentally retarded adults. From a total of 10 clients (aged 25 to 67 yr.) living in residences which were a part of the agency's supportive living program, five were administered the Arizona Social Support Interview Schedule and five were administered the Children's Inventory of Social Support. Recommendations regarding the implementation of social network analysis with mildly mentally retarded adults were discussed.

Download Full-text

A Pilot Study of Comparing Social Network Behaviors between Onlies and Others

International Journal of Cyber Behavior Psychology and Learning ◽

10.4018/ijcbpl.2015070105 ◽

2015 ◽

Vol 5 (3) ◽

pp. 56-66

Author(s):

Dong Nie ◽

Zheng Yan ◽

Nan Zhao ◽

Tingshao Zhu

Keyword(s):

Social Network ◽

Pilot Study ◽

Survey Data ◽

Real World ◽

Social Communication ◽

Sina Weibo ◽

Only Children ◽

Daily Behavior ◽

The Social ◽

Network Platform

Extensive research reported that only children (“Onlies”) have different daily behavior from children with siblings (“Others”) in the real world. However, little is known about whether Onlies and Others behave differently in the cyber world, especially on the social network. A pilot study has been conducted to compare the behaviors of Onlies and Others on Sina Weibo, a leading social network platform in China. Through analyzing both online Weibo data and survey data from 1792 Weibo users (52% Onlies), several differences between Onlies' and Others' Weibo behaviors were found: Onlies tended to be more willing to express themselves and be more active in social communication within a smaller social circle than Others. More explorations should be done to fully understand these differences between the two groups.

Download Full-text

Assertiveness and Anxiety Effects in Traditional and Online Interactions

International Journal of Cyber Behavior Psychology and Learning ◽

10.4018/ijcbpl.2015070103 ◽

2015 ◽

Vol 5 (3) ◽

pp. 30-46 ◽

Cited By ~ 1

Author(s):

Amy E. Baker ◽

Debora Jeske

Keyword(s):

Social Network ◽

Social Anxiety ◽

Survey Design ◽

Self Esteem ◽

Important Variable ◽

Personality Characteristics ◽

Online Interactions ◽

The Social ◽

Compensation Theory ◽

Negative Predictor

The present study explored the extent to which self-esteem is a significant predictor of social network use and the level of anxiety and assertiveness participants feel during traditional and online interactions. Using a survey design (N=184), it was found that lower self-esteem was not associated with more intensive social network use, in contrast to the social compensation theory. Self-esteem was a significant negative predictor of social anxiety as well as a positive predictor of assertiveness in traditional and online settings. Higher social anxiety was also associated with lower social assertiveness in both settings. Exploratory results showed that participants who engaged more frequently in online activities also reported significantly higher levels of assertiveness and lower levels of anxiety. These findings suggest that online behaviors reflect different personality characteristics, with self-esteem being an important variable to consider in the exploration of online behaviors and experiences.

Download Full-text

Attentional Bias Among Adolescents Who Stutter: Evidence for a Vigilance–Avoidance Effect

Journal of Speech Language and Hearing Research ◽

10.1044/2020_jslhr-20-00090 ◽

2020 ◽

Vol 63 (10) ◽

pp. 3349-3363

Author(s):

Naomi H. Rodgers ◽

Jennifer Y. F. Lau ◽

Patricia M. Zebrowski

Keyword(s):

Social Anxiety ◽

Attentional Bias ◽

Preliminary Evidence ◽

Cutoff Score ◽

Attentional Disengagement ◽

Social Stimuli ◽

Facial Stimuli ◽

The Social ◽

Attentional Engagement ◽

High Social Anxiety

Purpose The purpose of this study was to examine group and individual differences in attentional bias toward and away from socially threatening facial stimuli among adolescents who stutter and age- and sex-matched typically fluent controls. Method Participants included 86 adolescents (43 stuttering, 43 controls) ranging in age from 13 to 19 years. They completed a computerized dot-probe task, which was modified to allow for separate measurement of attentional engagement with and attentional disengagement from facial stimuli (angry, fearful, neutral expressions). Their response time on this task was the dependent variable. Participants also completed the Social Anxiety Scale for Adolescents (SAS-A) and provided a speech sample for analysis of stuttering-like behaviors. Results The adolescents who stutter were more likely to engage quickly with threatening faces than to maintain attention on neutral faces, and they were also more likely to disengage quickly from threatening faces than to maintain attention on those faces. The typically fluent controls did not show any attentional preference for the threatening faces over the neutral faces in either the engagement or disengagement conditions. The two groups demonstrated equivalent levels of social anxiety that were both, on average, very close to the clinical cutoff score for high social anxiety, although degree of social anxiety did not influence performance in either condition. Stuttering severity did not influence performance among the adolescents who stutter. Conclusion This study provides preliminary evidence for a vigilance–avoidance pattern of attentional allocation to threatening social stimuli among adolescents who stutter.

Download Full-text

The social network

Skin & Allergy News ◽

10.1016/s0037-6337(13)70045-7 ◽

2013 ◽

Vol 44 (2) ◽

pp. 22

Author(s):

ALAN ROCKOFF

Keyword(s):

Social Network ◽

The Social

Download Full-text

The Multilevel p2 Model

Methodology ◽

10.1027/1614-2241.2.1.42 ◽

2006 ◽

Vol 2 (1) ◽

pp. 42-47 ◽

Cited By ~ 47

Author(s):

Bonne J. H. Zijlstra ◽

Marijtje A. J. van Duijn ◽

Tom A. B. Snijders

Keyword(s):

Social Network ◽

Network Data ◽

Mcmc Algorithm ◽

Independent Observation ◽

Single Observation ◽

Multiple Networks ◽

Social Network Data ◽

Multiple Observations ◽

Practical Support ◽

The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

Download Full-text