درخت حوزه‌های تخصصی

Purpose: The aim of this study was to investigate the role of cognitive emotion regulation in predicting high-risk behaviors mediated by the well-being of 14-17 year old girls in Saravan city. Methodology: This research was descriptive and correlational and was conducted by structural equation modeling based on the partial least squares approach. The statistical population included all 14 to 17 year old male students in Saravan in the academic year 2019-20, and 400 of them were selected by random sampling. The collection tools included questionnaires of prevalence of high-risk behaviors Zadeh محمدi (2008), cognitive emotion regulation of Garnefski et al. (2002). The collected data were analyzed using Pearson correlation coefficient in SPSS software and structural equation model by Lisrel software. Findings: Findings from Pearson correlation coefficient showed that there is a significant positive and negative correlation between the total score of high-risk behaviors with emotion regulation and school well-being at 99% confidence level, respectively, and the structural equation model shows the indirect effect of high-risk behaviors with emotion regulation with School welfare mediation was significant with a coefficient of 0.78, so it can be said that high-risk behaviors with emotion regulation have a significant relationship with school welfare mediation. Conclusion: According to the research results, the hypothesis that the level of high-risk behaviors in female adolescent students can be predicted based on emotional behaviors and mediation of school well-being was confirmed

Purpose: The aim of this study was to explain the effectiveness of the model of established methods in autism (functional behavior analysis of ABA, Snowlen, and Dosa) based on the level of attention in children with autism spectrum disorder in Tehran. Methodology: The research method was quasi-experimental with a pretest-posttest design with a control group. The statistical population of this study was all children with autism spectrum disorder in Tehran in public and private educational and rehabilitation centers in 2018. By available sampling method, 48 people were selected and randomly divided into 4 intervention groups by applied behavior analysis method. , Snozelen, dosa and control group were divided. Data were collected based on the Connors Scale Scale (Parent Form) (1999), a modified review checklist, and the Wechsler intelligence test. Descriptive and inferential statistical methods and multivariate analysis of covariance were used to eliminate the pretest effect using SPSS software was used. Findings: The results showed that all three methods of functional behavior analysis of ABA, Snozlen and Dosa had a significant effect on increasing attention compared to the control group. Also, ABA applied behavior analysis method had a greater effect on improving attention in the three measurement stages than the other two experimental groups. Conclusion: The findings of the study showed that the use of these interventions and educational programs as a method in improving and rehabilitating children with this disorder is useful, so the use of this method is recommended. The results showed that the difference between the analysis of functional behavior of ABA, Snozlen and Dosa with the control group was significant at the level of 0.05, so it can be said that all three methods of functional behavior analysis of ABA, Snozlen and Dosa compared to the control group had a significant effect on increasing attention.

Purpose: The aim of this study was to investigate the causal pattern of perceived competence on psychological capital mediated by the academic emotions of 10th grade male high school students in Tehran. Methodology: The research method was applied in terms of purpose, quantitative approach, cross-sectional in terms of data collection time and correlational in terms of research method. The statistical population of this study consisted of all tenth grade male students of the second year of high school in Tehran in the academic year 2019-20, from which 510 people were selected by multi-stage cluster random sampling. In this study, the tools of perceived competence (De Perna and Elliott, 2000), psychological capital (Lutans, 2011) and academic excitement (Pekrun, et al., 2005) were used, all of which had acceptable validity and reliability. SPSS-V23 and Amos-V8.8 software were used to analyze the data. Structural equation modeling was also used to answer the research hypotheses. Findings: The research findings showed that the model has a good fit. The results showed that perceived competence has an effect on psychological capital in students. Academic excitement affects the psychological capital of students. Perceived competence also affects psychological capital through the mediation of academic emotions. Conclusion: Therefore, it can be said that increasing psychological capital and perceived competence can improve the academic excitement in students.