This study examined the relationship between being members of social network sites (SNS) and the reasons for their use among individuals who are between 20-66 years of age. Social networking status and virtual loneliness are examined according to reasons for using SNS of participants. Researcher did a web-based questionnaire upon Facebook (FB) and reached a volunteer group of FB users and gave Social Networking Status Scale ( SNSS) and Virtual Loneliness Scale (VELS) in order to measure participants networking status and virtual loneliness according to socio-demographical variables. SNSS, gender, and age are the strongest predictors of virtual loneliness. Also, male participants, SNSS scores are significantly higher than female participants which indicates that male participants are more dependent on SNS. When time spent online increases individuals get convergence to usual habits in the virtual world. Individuals SNS usage habits effects their normal lives and make them escape to the virtual world.

Previous studies have confirmed that perceived social support facilitates university adjustment during emerging adulthood. Less is known, however, about the specific dimensions of social support that foster successful transition to university. This research represents the first attempt to examine the combined effects of social provisions, sense of support and perceived acceptance on each facet of adaptation to higher education. The sample consisted of 198 women and 102 men, of average age 18.03 years (SD = 0.52), enrolled in the first year of different degree courses at a public university. Three measures were used to assess various dimensions of perceived social support: the Social Support Questionnaire (SSQ6), the Perceived Acceptance Scale (PAS) and Social Provisions Scale (SPS). The measures of the various facets of university adjustment were obtained from the Student Adaptation to College Questionnaire (SACQ). Regression analysis indicated that reassurance of worth and perceived acceptance by friends were the dimensions that best predicted all facets of university adjustment. The findings provide a more comprehensive understanding of how perception of social support could be used to develop effective intervention strategies and programmes to prevent failure at university.

The aim of this study was to examine if perceived family violence of victimized children is related to their perceived aggressive behavior. It has been acknowledged that children learn and behave what they observe and practice including violence. A stratified random sample (N =1160) of Omani school students was drawn from grades 6 to 9. The study used perceived family violence and perceived aggressive behavior measures to collect data. CFA was performed to test the proposed factor structure as well as the structural model. The invariance test lent support to the hypothesis that the structure of constructs is invariant across gender. However, the relations between constructs were not invariant. Children (boys and girls) who expressed high verbal violence on them reported they were more verbally and physically aggressive. Boys, but not girls, who reported high physical violence on them reported they were more verbally and physically aggressive. The relation between perceived family violence and perceived aggressive behavior seem to be dependent on gender and types of family violence as well as the kind of children’s aggressive behavior.

This paper presents an investigation that aims to: 1) explore the relations between core symptoms of adult Attention Deficit and Hyperactivity Disorder (ADHD) and several typical Internet activities, and 2) compare the predictive power of two core symptoms of ADHD- inattention and hyperactivity/impulsivity- in predicting Internet addiction. Methods: A total of 2016 Chinese college students participated in this study. The ADHD symptoms were assessed using Conners self-rating scales and DSM-5 semi-structured interviews. Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (SCID-5) was used to exclude other psychiatric disorders. Chen’s Internet addiction scale (CIAS) was used to evaluate Internet addiction. Information about Internet activities (e.g., online gaming) was collected through a self-constructed questionnaire. Results: The ratio of Internet addiction problems among individuals with ADHD symptoms is significantly higher than in ordinary individuals (48.9% vs. 14.3%). Further, each core ADHD symptom has unique relations with different types of Internet activities. Specifically, both core ADHD symptoms are negatively associated with information downloading and online learning, and positively associated with online gaming, while online shopping is only associated with hyperactivity/impulsivity. Furthermore, both core ADHD symptoms are significant predictors of Internet addiction, especially inattention. Conclusion: College students with ADHD symptoms are at a higher risk of having Internet addiction than peers without ADHD symptoms. For individuals with ADHD symptoms and excessive online gaming and/or online shopping behaviors, the probability of having Internet addiction is even higher. These findings have important implications for identifying risk factors of Internet addiction and preventing Internet addiction in Higher Education settings.

The aim of the present study is to conduct a confirmatory factor analysis (CFA) of the Rosenberg Self-esteem Scale (RSES) as part of the study of affective variables using a sample of English as a foreign language (EFL) university students in Morocco. Two hundred and six (N = 206) participants of undergraduate, graduate, and post-graduate levels completed the self-esteem (SE) questionnaire. Using classical methods of factor extraction before employing more robust techniques comprising minimum average partial (MAP) and parallel analysis (PA) to perform preliminary factor analysis (FA) using principal axis factoring (PAF), results conclusively and parsimoniously yielded a one-factor solution with acceptable construct reliability (Composite Reliability). CFA results, including goodness-of-fit indexes, confirmed that the one-factor model was better fitting compared to its competing independent two-factor counterpart, but marginally less so compared to the correlated version of the latter. Two out of the three constructed models showed good fit indexes, thus demonstrating the conformity of two measurement models with their respective hypothesized structural models. Furthermore, using the heterotrait-monotrait (HTMT) ratio, both two-factor models showed acceptable discriminant validity. The obtained results further corroborate both the one-factor and two-factor solutions reported in previous works for which we present new evidence from a Moroccan EFL context.

Previous research focused on individuals’ background, contexts and cognitive performance in education, work, and life. Given the increasing number of people living alone temporarily, the question arises whether the frequent use of skills, including social skills, relates to individuals’ later positively self-evaluated skills and social lives. Based on an integrated framework, the current analysis aimed to disentangle these relationships with longitudinal data from Germany over three years. The target sample consisted of n = 3263 working adults. A Bayesian structural equation model included adults’ frequent use of skills, self-evaluated skills, household size, close friends, and seven covariates (e.g., numeracy and literacy test scores, weekly working hours. The results suggested positive relationships between adults’ frequent use of numeracy, literacy, and social skills and later self-evaluations (except literacy used on self-evaluated numeracy). Those who less frequently used social skills three years earlier were also less likely to have a larger household size than those who reporting frequently using their social skills. Adults who frequently used literacy skills three years earlier reported higher numbers of close friends than those who less frequently used literacy. The findings highlight the importance of adults’ social skills and frequently used skills for self-evaluated numeracy and literacy.

Due to the notably increased penetration of smartphone use among university students and the alarming risk it poses to both physical and mental health, this study investigated mobile phone addiction among university students concerning student characteristics, mobile phone usage behaviors, and mobile phone use purposes and situations. The participants of this study were 600 university students, who were selected according to the convenience sampling method from different departments in Türkiye. The data were collected using the student characteristics form and the Mobile Phone Addiction Scale. The correlational research method was followed in the study. The data were analyzed using descriptive and inferential statistics. The results showed that students clustered as addicted and non-addicted had different mobile phone use behaviors on account of daily smartphone use duration, internet use duration on a smartphone, and daily smartphone check frequency. Being a female at a lower grade level and using mobile phones mostly at night made students more vulnerable to mobile phone addiction. Additionally, the results indicated a significant positive moderate correlation between internet use duration, daily smartphone use duration, daily smartphone check frequency, and mobile phone addiction scores. Lastly, checking social media apps, messaging, and editing photos significantly contributed to mobile phone addiction scores. Among the mobile phone use situations, when getting bored, during lessons, when watching TV or movies, and when being alone significantly contributed to mobile phone addiction scores. This study provided a thorough discussion and a set of recommendations.