درخت حوزه‌های تخصصی

The present study aims to predict the attitude towards marital infidelity based on attachment and perfectionism styles. The research method was correlational-descriptive and the statistical population was all married students of Islamic Azad University, Lahijan Branch. A sample of 369 students was selected by convenience sampling method. Adult Attachment Questionnaire, The Perfectionism Questionnaire and Attitude to Marital Infidelity Questionnaire were used to collect data. The research hypotheses were examined through Pearson correlation test and multiple regression and found that a significant correlation exists between marital infidelity with ambivalent attachment style (0.450), avoidant attachment style (0.348), safe style (-0.519), positive perfectionism (-0.403) and negative perfectionism (0.433). In addition, the multiple regression model indicated that attachment and perfectionism styles could accurately predict 34% and 25% of the variance of marital infidelity, respectively. The results indicated that creating a secure attachment style and positive perfectionism in individuals is related to reducing marital infidelity and consequently increasing family stability

The present study was conducted on female students of Allameh Tabataba'i University to predict Internet addiction through a seven-factor Cloninger model. The statistical population of the study consisted of all female students of Allameh Tabataba'i University studying in the academic year 2019-2020. Moreover, a sample population of 150 people was selected through the convenience sampling method. Young's Internet Addiction Test and Cloninger’s Temperament and Character Inventory (TCI-125) were administered to the sample population. The data were analyzed by Pearson’s correlation test, multiple regression. Results of Enter regression indicated that persistence dimension (b=-0.355) could account for 18.6% of variances of Internet addiction. The results of stepwise regression showed that persistence (b=-0.349) could predict 12.2% of variances of Internet addiction. Then, self-directedness was added to the prediction model which increased the explained variances of Internet addiction up to 15.4% of which 3.2% accounts particularly for self-directedness. This study may contribute to more accurate identification of involved factors in this phenomenon and provide a proper approach for prevention and treatment in line with those focused on evaluating the effective factors on Internet addiction.

Coronavirus pandemic has caused people a lot of anxiety in the past two years. The present study aims at predicting Coronavirus anxiety level based on mindfulness and resilience. It is applied research in terms of the goal; and methodologically, it is descriptive correlational research. Corona Disease Anxiety Scale (CDAS), Five Facet Mindfulness Questionnaire (FFMQ) as well as The Connor-Davidson Resilience Scale (CD-RISD) are employed to gather the data. The participants of the study include all Rahman Institute of Higher Education students in the academic year 2020-2021. A total of 260 (147 male and 113 female) students are chosen based on convenience sampling for whom the questionnaires are administered on-line. Statistical data analysis is based on regression analysis. The results of the multiple liner regression show that 12 percent of variance in COVID 19 anxiety is related to two of the mindfulness facets as observing and acting with awareness (p<0.01). Additionally, 19.6 percent of variance in COVID 19 anxiety is determined by mindfulness. Therefore, it is concluded that the facet of observing and resilience are related to less COVID 19 anxiety and acting with awareness is in connection with more COVID 19 anxiety in people  

One of the common problems among university students is self-harm behavior which has many negative consequences for the people involved and the society. The aim of this study is to investigate the frequency of occurrence of self-harm behavior in university students. The participants of this descriptive study include the entire undergraduate students of the University of Guilan in the academic year 2019-20. A total of 508 students (368 females and 140 males) are selected based on Convenience Sampling. For data collection, the Self-harm Inventory Questionnaire (SHI) is employed; moreover, descriptive statistics as well as Chi-square test are used. According to the findings, 17.8% of students have self-harm behavior. The results of Chi-square test reveal that there is no significant difference between male and female students in terms of the frequency of occurrence of direct, indirect and general self-harm behavior (P> 0.01). Burning the body, recklessness in driving, alcohol abuse and deliberate loss of job in male students and being involved in relationships that expose one to sexual abuse and deliberate self-starvation are more common in female students (p< 0.01).  Also, local and non-local university students and different age groups of students show significant different behavior in terms of direct and indirect self-harm (P<0.01). Based on the findings, it can be stated that self-harm is relatively common behavior among university students. As a result, these people need to be identified and treated in a timely manner to reduce the negative consequences of this kind of behavior.

The aim of this study was to investigate the relationship between online game addiction and self-efficacy, creativity and social skills. The statistical population included all female high school students in Rudsar who were studying in 2020-2021. From this community, 150 people were selected by convenience sampling method. Data collection tools included the Online Game Addiction Questionnaire, Self-Efficacy Questionnaire, the Creativity Questionnaire, and the Social Skills Questionnaire. In this study, Pearson correlation coefficient and multiple regression and SPSS-22 software were used for data analysis. The results of the analysis showed that the components of online game addiction (academic and occupational performance problems and social and mood problems) were able to achieve 48.8% of the variance of self-efficacy, 43.3% of the variance of creativity and 27.4% of the variance of skills Predict students' social (p˂0.05). Therefore, the results of this study show the importance of paying attention to online game addiction in students and its prevention can be associated with positive psychological variables.