جستجوی مقالات مرتبط با کلیدواژه "تنظیم هیجانات" در نشریات گروه "علوم اجتماعی"

Considering the importance of driving and the resulting injuries, we can point to the relationship between human characteristics and driving behaviors. Therefore, the aim of this study was to develop a structural model of driving behaviors on the basis of aggression mediated by emotion regulation.  

This research was applied in terms of purpose and descriptive-correlational in terms of quantitative methods of data collection. The statistical population of this study includes 917 drivers from Tehran, West Azerbaijan, and Kurdistan provinces who were selected and evaluated by cluster sampling method. Data collection tools were Manchester (1990) driving behavior questionnaire, aggression 30 factors (1379) and   Grass and John’s (1998) emotion regulation.

The results of the analysis structural equation showed that the measurement models of the studied variables and the final model of the research had a good fit. Aggression also had a direct effect on driving behavior of drivers. The emotion regulation variable was able to mediate between aggression and driving behavior.

the structure of emotion regulation can be used to explain the relationship between aggression and driving behaviors. It is suggested that in order to improve the driving situation and reduce the number of accidents, the criteria and rules for obtaining a driver’s license should be reviewed in accordance with the topics of aggression and emotional behaviors. Accordingly, ounseling and training programs should be developed and introduced to Drivers.

Humans always adopt behaviors in all situations of life that can have very different results. Researchers in the field of high-risk driving behaviors have investigated the role of emotions prevalence rate as well as the root causes and factors related to this important issue. Therefore, the aim of this study was to develop a structural model of driving behaviors on the basis of sensation seeking mediated by emotion regulation.

This research was applied in terms of purpose and descriptive-correlational in terms of quantitative methods of data collection. The statistical population of this study includes 917 drivers from Tehran, West Azerbaijan and Kurdistan provinces who were selected and evaluated by cluster sampling method. Data collection tools were Manchester (1990) driving behavior questionnaire, Arnett sensation seeking questionnaire (1992) and Grass and John (1998) emotion regulation.

The results of the analysis of structural equation showed that the measurement models of the studied variables and the final model of the research had a good fit. Excitement also had a direct effect on driving behavior in drivers. The emotion regulation variable was able to mediate between sensation seeking and driving behavior.

The structure of emotion regulation can be used to explain the relationship between sensation seeking and driving behaviors. It is suggested that in order to improve the driving situation and reduce the number of accidents, the criteria and rules for obtaining a driver's license should be reviewed in accordance with the topics of emotional behaviors.

The purpose of this study was to predicting children's anxiety based on emotion regulation and resilience during coronavirus outbreaks (Covid-19). The descriptive- correlation method was used. The statistical population consists of all children aged 7 to 12 and their mothers referred to the Naja relaxation counseling center in Mallard city in year 2020. In this study, according to convenience sampling method, 100 people by formula Plant of Tabachnick & Fidell (2007) were selected as samples and they were asked to fill in the Spence children’s anxiety scale -parent (SCAS-P) of Spence and et al (2001), emotion regulation checklist (ERC) of Shields & Cicchetti (1998) and short version of resilience scale (RS) of Surzykiewicz, Konaszewski & Wagnild (2018). The data were analyzed by tests of Pearson correlation and multivariate regression. Findings showed that there was significant correlation between emotion regulation and resilience with children's anxiety during coronavirus outbreaks (P<0/01). Regression analyses also revealed that %55/5 of variance of children's anxiety was explained by emotion regulation and resilience during coronavirus outbreaks (Covid-19). This study confirmed the significant contribution of emotion regulation and resilience during coronavirus outbreaks (Covid-19) on children's anxiety.