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Eurasian Society of Educational Research
Eurasian Society of Educational Research
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Eurasian Society of Educational Research
Headquarters
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS

'social networking' Search Results



Social Network Site Usage among Adults: Social Networking Status and Virtual Loneliness

adult facebook dependency social networking loneliness status

Zihniye Okray , Cemaliye Direktor , Anjelika Huseyinzade Simsek


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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.

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10.12973/ejper.1.1.11
Pages: 11-18
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During the second decade of the 21st century families and schools world-wide have been affected by several critical events, with economic recession, the refugee crisis, and lately the COVID-19 pandemic being the most prominent. Pertaining to the school community (students, educators, administration, parents, school personnel etc.), evidence-based interventions for improving mental health and supporting psychosocial adjustment are necessary. In this paper the development, implementation, and evaluation of the international WeCARE (We Connect, Accept, Respect, Empower) program, an online multilevel intervention for promoting well-being and resilience in the school community during unsettling times, is presented. The Program has a multicultural perspective and provides the opportunity to students from different countries to cooperate and develop multicultural skills. The intervention is based on a conceptual model for enhancing positive development, resilience, social and emotional skills, and competence. The interventions were implemented on individual and system levels over four consecutive years, including web-based teachers’ training and supervision, seminars for parents, and classroom implementation. Furthermore, collaboration amongst schools and educational settings was highlighted, in the form of networking at national and international level. Based on the evaluation results, the necessity for further development and implementation of programs for the promotion of resilience and well-being during unsettling times is discussed.

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10.12973/ejper.4.1.51
Pages: 51-67
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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.

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10.12973/ejper.5.1.33
Pages: 33-43
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In this study, a cluster analysis was performed by creating a data set from students' personality traits and academic procrastination behaviours. Correlation analysis was done to examine the relationship between the variables, and the characteristics of the formed clusters and the association of the clusters with the perceived socioeconomic status were examined. Cluster analysis is a simple and practical method for classifying a set of complex data based on certain variables and making them more meaningful and using the results as an aid to decision-making. Clustering algorithms handle such data effectively, making it more meaningful. Following the analysis, it was revealed that two clusters had formed. The first of the clusters includes 65.2 % of the sample population; the level of procrastination and the mean score of neurotic personality traits were calculated higher than the other cluster. The remaining part of the sample population (34.8 %) constitutes the second cluster. The mean scores of studying systematically habits and extroversion, agreeableness, conscientiousness, and openness to experience personality traits of the students forming this cluster are higher than the other cluster. No association was observed between the clusters and the perceived socioeconomic levels of the students. The distributions of socioeconomic levels within the clusters are similar to each other. When the correlations of these variables are examined; positive relationships were found between the level of procrastination and neurotic personality traits. Procrastination behaviour and neurotic personality traits were also negatively correlated with other variables.

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10.12973/ejper.5.1.63
Pages: 63-76
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Challenges relating to misuse and abuse of the internet and other mobile devices have become sources of concern among the youth population the world-over. However, research on cyber related issues has been focused mainly on adolescents in Nigeria. This study investigates the influence of cyber bullying, cyber victimization and pathological internet use on psychological well-being among adults. Using a cross sectional research design and a multi-stage sampling technique, 280 university students were selected. A questionnaire on socio-demographic profile cyber intimidation and internet addiction was administered to the participants. Data were analyzed using descriptive statistics and t-test analysis at 0.05 level of significance. Three hypotheses were tested. The results revealed that participants who engage less in cyber bullying were not significantly different in their levels of psychological well-being when compared to their counterparts who engage more in cyber-bullying. Pathological Internet use did not significantly influence the levels of psychological well-being of cyber space addicts. The association between cyber related variables and psychological well-being is crucial for better understanding of their actual effects on human behaviour and for the purpose of designing intervention programmes.

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10.12973/ejper.3.2.161
Pages: 161-172
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638
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