جستجوی مقالات مرتبط با کلیدواژه « dependence on social networks » در نشریات گروه « علوم انسانی »

The aim of the present study was to determine the effectiveness of life skills training on communication skills, psycho-social security and dependence on social networks in female students with cyberspace addiction. This research is a semi-experimental type of pre-test-post-test design with a control group. The statistical population of secondary school female students with cyberspace addiction in Kalibar city, 74 students were selected from this population using the available method, and the cyberspace addiction questionnaire was completed, and the students whose scores in the cyberspace addiction questionnaire were Yang's cyberspace was in the range between 80 and 100 (cut score and as cyberspace addiction); 40 people were selected as a sample and were replaced in two experimental groups (20 people) and control group (20 people). In order to collect data, cyberspace addiction questionnaires, communication skills questionnaires, psychosocial security and social network addiction questionnaires were used. Data analysis was done by multivariate analysis of covariance test. The results showed that life skills training has an effect on dependence on cyberspace and its components (habit, addiction and high involvement) (P<0.05). Also, life skills training has an effect on psychosocial security and its components (self-confidence, feeling of unhappiness, environmental incompatibility and people's view of themselves) and communication skills and components (feedback, listening and verbal skills) (05 /0>P).

The present study was conducted with the aim of determining the predictive role of family communication patterns and self-control with dependence on social networks in adolescents. The method of this study was descriptive-correlational.  The statistical population of the study included all female students aged 15-17 years studying in second-grade public high schools in Abyek City in the academic year 2021-20211. Using a non-random sampling method, 258 people were selected and they were evaluated via virtual networks using the Internet addiction test (IAT) (Yang,1998), the revised family communication pattern (RFCP) (Ritchie, 1972), and the self-control scale (SCS) (Tangney et al., 2004). The results of the Pearson correlation test revealed a significant positive relationship (P<0.01) between the communication pattern of conversation and dependence on social networks, and a significant negative relationship (P<0.05) between the communication pattern of conformity and dependence on social networks. But there is no significant relationship between self-control and dependence on social networks. In fact, 19% of the variance of dependence on social networks can be predicted based on family interaction patterns (dialogue, conformity), and the self-control of teenagers. Paying attention to the findings, in order to reduce or prevent dependence on social networks in teenagers, special programs can be developed to improve family interaction patterns.

The aim of this study was to investigate the effect of emotional intelligence in reducing students' dependence on social networks. In terms of purpose, this research is applied and in terms of method, it is a quasi-experimental research with pre-test-post-test design with control group and experimental group. The statistical population of this study was all female high school students in Tehran. A sample size of 40 people was selected by convenience sampling method and the classes were divided into two groups: az and whole. The measuring instruments of this research are Bar-On Emotional Intelligence Questionnaire and Facebook Dependency Questionnaire. Based on ﺍﻟﮕﻮ emotional intelligence training in the experimental group was performed in 8 sessions.After the training, the post-test was performed on the experimental and control groups to obtain the difference from the independent variable on the experimental group. Research data were analyzed using SPSS software. The results of univariate analysis of covariance showed that independent variable training (emotional intelligence) could lead to a significant difference in the mean scores of the dependent variable (dependence on consensus networks) in the post-test stage at the error level of 0.05. The results showed that emotional intelligence promotion training reduces high school students' dependence on Facebook and after 1 month, the effect of emotional intelligence promotion training on reducing Facebook dependence will continue.

The present study was conducted with the aim of testing the causal model of the feeling of loneliness of Twitter users based on lifestyle and stress coping styles with the mediation of social network dependence. 200 people were selected as a statistical sample based on the purposeful sampling method. Subjects responded to the questionnaires of addiction to social networks by Ahmadi et al. (2015), loneliness by Russell et al. (1980), lifestyle by Miller and Smith (1988), and coping styles by Lazarus and Folkman (1984). The validity of the questionnaires was examined and confirmed based on the content validity using the opinion of experts, the validity based on the opinion of a number of the statistical community and the structure using the factor analysis method. , coping styles with stress were estimated as 0.80, feelings of loneliness as 0.79, and dependence on social networks as 0.78. Data analysis was carried out at two levels, descriptive statistics and inferential statistics, including modeling of structural equations by Lisrel software. took The results showed that all the hypotheses of the research had a favorable fit. Life style with an impact factor of 0.52 and stress coping styles with an impact factor of 0.56 are indirectly related to loneliness.

Since the introduction of social networks, the pace of change in life has increased exponentially. Dependence on social networks can fundamentally change the course of human life. The aim of this study was to investigate the relationship between lifestyle and basic psychological needs with dependence on social networks mediated by emotional intelligence.

The correlation research design was structural equation modeling. The statistical population is students of Tehran province in 1400, of which 515 people were studied by multi-stage random sampling. Regarding education, 13.98% less than bachelor, 48.74% bachelor, 24.08% master and 13.20% doctorate participated. To measure the research variables, internet and social network addiction questionnaire(Young, 1998), lifestyle questionnaire (Lali & Abedi, 2012), the basic needs satisfaction in general scale (Guardia et al., 2000) and emotional intelligence questionnaire (Scott, 1998) were used.

The results showed that there is a significant relationship between lifestyle components, basic psychological needs and emotional intelligence with dependence on social networks (P <0.01). According to RMSEA, GFI and CFI indices, the fit of the model was approved with values ​​of 0.057, 0.994 and 0.967, respectively. Also, the mediating role of emotional intelligence in the relationship between lifestyle and basic psychological needs with dependence on social networks was identified.

Therefore, by improving lifestyle and basic psychological needs, it is possible to correct dependence on social networks.

The present study aimed to investigate the relationship between alexithymia and academic engagement mediated by dependence on social networks and mental health. The statistical population of this correlational descriptive study comprise 483 students at vocational schools in Miandorood, 217 of whom were recruited using a stratified random sampling method. Cochran’s formula was used to estimate the sample size. Research data were collected through standard questionnaires, and analyzed using structural equation modeling in LISREL and SPSS statistical software. Alexithymia, mental health, and dependence on social networks had negative and significant effects on academic engagement. The mediating role of mental health and dependence on social networks was negative and significant for the relationship between alexithymia and academic engagement. In conclusion, it is necessary to address alexithymia, dependence on social networks, and mental health to increase students’ academic engagement.