There are basic traffic rules as well as rules that must be followed personally and socially. Depending on the drivers, positive and negative behaviors occur in traffic. Because of negative behaviors in traffic, there are loss of life and property, as well as moral/psychological prob-lems. It is seen that moral behavior, empathy and religious values are important in traffic. There are many studies that reveal the relationship between religiousness, traffic behaviors, and empathy. It can be predicted that there are relationships (...) between religiosity, driver behav-ior and empathy. Moreover, according to studies based on correlation relations, it can be stated that those with high religiousness, inner religiosity and empathy scores are more careful and respectful in traffic. Empathic tendencies and religious values might lead to be more civilized, more respectful, and to comply with the traffic rules. The aim of the current study was to analyze the relationship between religiosity, traffic behavior, and empathy. Under the guidance of literature, the following hypotheses were tested: There is a differentiation in traffic errors and violations and positive driver behavior by gender. Positive driver behaviors and traffic errors and violations differ according to the accident rate. There is a statistically positive rela-tionship between religiousness and empathy and positive driver behavior. There is a negative relationship between religiousness and traffic errors and violations. Religiousness predicts empathetic tendencies and positive driver behavior. Empathy mediates in the relationship between religiosity and positive driver behavior. Research methods of the current study were documentation and relational survey method. Data collection was made by means of various social media and messengers etc. A total of 201 volunteers participated in the current study. According to gender, 104 (51.7%) of the partici-pants were men and 97 (48.3%) were women. The age range of the sample varied between 20 and 58 and the average age is 33. 199 (99%) of the participants had a driver’s license, 2 (1%) had not any driver’s license. In terms of accident rates, 100 of the participants (49.8%) had an accident, 101 of them (50.2%) never had an accident. The data was analyzed using SPSS and AMOS program. Descriptive analysis, t-test, Pearson correlation test, multiple regression based on structural equation model, intermediate variable analysis, and reliability analysis tests were performed in the analyzes. The questionnaire of the study consisted of the personal infor-mation form and the consent form created by the researcher, the driver behavior scale devel-oped by Reason et al., adapted to Turkish by Sümer et al., the positive driver behavior scale developed by Özkan and Lajunen, the empathic tendency scale developed by Dökmen and the religiousness scale developed by Ayten. According to gender, there is a statistically significant differentiation in terms of traffic errors and violations (t (199) = 4.731; p 0.001), and errors and violations (β = -, 120; p> 0.001). Regarding the regression weights according to the structural equation model, in terms of relationships between varia-bles, it is not statistically eligible to analyze the mediator. (shrink)

In this research, firstly, the related literature of cyberbullying/victimization, problematic internet usage and religiosity and correlations among religiosity, cyberbullying/victimization and problematic internet use were tried to be revealed. Subsequently, the differences between the gender groups on cyberbullying/victimization, problematic internet use and religiosity were examined. Moreover, the differences among the age groups on cyberbullying/victimization, problematic internet use and religiosity were analyzed. The study was conducted with 1130 participants between 16-55 years old. In the study, Personal Information Form, Revised CyberBullying Inventory, Generalized (...) Problematic Internet Use Scale 2 (GPIUS2) and two different Religiosity Scales were utilized. Personal Information Form was arranged by researchers. Two items of the Personal Information Form are derived from the Bapint Scale who developed by Öğel and et al. Revised CyberBullying Inventory was developed by Topçu and Erdur-Baker. Generalized Problematic Internet Use Scale 2 (GPIUS2) was developed by Caplan in 2010. The first religiosity scale was developed by Veysel and this version edited by Ayten was used. The second religiosity scale was developed by Ayten. According to the results of the study, it was seen that there was a statistically significant difference in the cyber bullying variable according to the sex. However, according to sex, cyber victimization, problematic internet use and religiosity variables were found not to be significantly differentiated. There is a significant difference in the cyberbullying, problematic internet use and religiosity according to the age variable. It has been found that there is no significant difference in the cyber victimization variable. According to the correlation which have been obtained, the significant negative relationship between religiosity, cyber bullying/victimization and problematic internet use were found. It is possible to say that as the religiousness increases, cyberbullying, cyber victimization and problematic internet usage decrease. (shrink)

The aim of the current study is to examine the relationship between religious coping, problematic social media use and loneliness. According to demographic variables as well as descriptive statistics, differences in religious coping, problematic social media use and loneliness variables were discussed in this study. Religious coping has been investigated in two dimensions as positive religious coping and negative religious coping. The sample of the study consists of 440 people. 152 of the participants are men and 288 are women. The (...) age range of the sample varies between 18-65 and the average age of the sample is 24.10. According to the marital status, 201 of the participants are married and 239 are single. Documentation and relational survey method were used in the study. SPSS, AMOS and SPSS Process Macro programs were used in the analysis of the research. In the study, descriptive statistics, t-test, ANOVA, correlation analysis, regression analysis and mediation analysis were performed to test the hypotheses created depending on the literature. (shrink)