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"Runcan, Patricia"
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Association between Facebook Use, Depression and Family Satisfaction: A Cross-Sectional Study of Romanian Youth
Background: In recent years, Facebook has increasingly become an essential part of the lives of people, particularly youths, thus many research efforts have been focused on investigating the potential connection between social networking and mental health issues. This study aimed to examine the relationship between Facebook use, emotional state of depression, and family satisfaction. Methods: This study used the online survey created in Google Docs on the Facebook ‘wall’, as research method. The survey was available during Jun-Jul 2015 in Romania. In our cross-sectional study on a sample of 708 young Facebook users (aged 13-35), we divided the sample into 3 groups: ordinary, middle, and intense Facebook users. Materials and instruments: the survey comprised a series of basic demographic as well as some measures of Facebook addiction, depression, and family satisfaction. We used two methods connected with extensive Facebook usage, the first one measuring only the intensity of use, and the second one measuring not only the intensity but also the consequences of this use. Results: Facebook engagement is negatively related to family satisfaction. Moreover, Facebook engagement is positively related to depression symptoms. The Pearson correlations showed that higher Facebook intensity is positively associated with Facebook addiction. Conclusion: The study confirm previously published findings of other authors in the fields of social networking psychology. The study examined the relationship between Facebook use, depression, and life satisfaction and the hypotheses were supported.
Journal Article
A Network Analysis Approach toward Adaptive Overt Narcissism Network
The relationship between narcissistic personality and art and beauty appreciation has recently become the focus of research investigations. Adaptive narcissists raise their sense of worth in order to shield themselves from harm caused by others. Because they aspire to be more attractive, healthier, and successful versions of themselves, they frequently have greater success in life than the majority of people. Grandiose and overtly narcissistic behavior are the main recognized characteristics of an overt narcissist, which is currently regarded as a personality disorder that puts mental health and wellbeing at peril. On a random sample collection of data from 1101 respondents to an online questionnaire, we conducted a network analysis of the Adaptive Overt Narcissism Scale (AONS) items. In this study, we used a network analysis approach to examine the network structure of adaptive overt narcissism, as well as its relationships with psychological functioning. The present study utilized network analysis to investigate the centrality measures of items in the Adaptive Overt Narcissism Scale (AONS) and their interrelationships. Results indicated that item Q6.8 (“I appreciate art and beauty”) had low betweenness, closeness, and strength centrality measures, indicating that it was less influential in the network. However, it also had negative expected influence, suggesting that its absence would have a destabilizing effect on the network. These results highlight the importance of the appreciation of art and beauty in deactivating the adaptive overt narcissist network. Further research is needed to explore the mechanisms underlying this relationship and its implications for narcissism prevention and intervention.
Journal Article
Applied Social Sciences
Applied Social Sciences: Psychology, Physical Education and Social Medicine is focused on an interdisciplinary area of research, coagulating quantitative and qualitative studies related to developmental psychology, methodology of applied psychology, educational psychology, physical education and social medicine. Some of these topics, such as deviant behaviours of adolescents, validation of specific psychological scales, cross-cultural approaches in education, behaviour optimization at the ind.
eBook
Applied Social Sciences
This book, Applied Social Sciences: Economics and Politics, is a collection of quantitative and qualitative studies carried out in the field of economic and political sciences useful in the social sphere. Theoretical essays and empiric research attempt to explain some difficult economic and political phenomena such as need scale and true productivity, audit of financial statements, evaluation of students action on the labour market, the financing and quality of public higher education, resis.
eBook
Depression in the Elderly
Depression in the Elderly examines theoretical aspects of depression, its symptoms and risk factors, ageing, old age and the elderly, the families of depressed old people, and practical aspects resulting from quantitative and qualitative research on a significant sample of old people from the point of view of the main psycho-social factors involved in depression in the elderly: sudden retirement, losses (of the partner, of the adult child, of social status, of health), poverty, loneliness, an.
eBook
Applied Social Sciences
This book, Applied Social Sciences: Administration and Management, is a compelling collection of quantitative and qualitative studies in the fields of administration, right, management, and international studies related to the social sphere. Through theoretical studies and empirical research, the authors attempt to explain complex legal, administrative, management and international relations concepts. The essays focus on several themes including local and global public administration, team ma.
eBook
Social Economics and Entrepreneurship
In the context of recent changes in the economic and social spheres, one of the most important topics of interest for researchers is the analysis of the way in which social economics and entrepreneurship may be used as successful approaches in social work. This type of approach has seen a remarkable increase in popularity, and has implications for social, economic, and political organisations, as well as for the design of governing policies and strategies at local, regional, national, and eve.
eBook
Exploring Students’ Attitudes Toward the Integration of Artificial Intelligence in Education
The acceptance of, perceived advantages to, and skepticism toward the integration of artificial intelligence (AI) in undergraduate education is investigated in this paper. In this study, a total of 675 students from six Romanian universities answered a self-administered online questionnaire evaluating three main aspects: AI acceptance, AI benefits, and AI skepticism. While AI skepticism has a modest but substantial negative influence (β = −0.113, p = 0.001), results show that AI benefits favorably predict AI acceptance (β = 0.541, p = 0.001). Whereas AI skepticism negatively correlates with AI acceptance (r = −0.124, p = 0.001), correlational analysis reveals a high positive association between AI acceptance and AI benefits (r = 0.544, p = 0.001). Despite concerns about its limitations, the regression model suggests that students’ willingness to embrace AI in education is mostly driven by its perceived advantages. This explains 30.8% of the variance in AI acceptance (R2 = 0.308, F(2, 641) = 142.909, p < 0.001). These results highlight the importance of techniques that improve perceived benefits while addressing uncertainty since they offer insightful analysis of student attitudes regarding artificial intelligence integration in higher education. By guiding policy decisions and educational activities meant to maximize AI-driven learning environments, this study adds to the current conversation on artificial intelligence adoption in education.
Journal Article