A Sociological Explanation of Social Honesty Effect on Political Participation (Case of Study: Residents in Gorgan in 2016)

Document Type : Research Paper


1 Department of Social Sciences, Islamic Azad University, Tehran, Iran

2 Department of Social Sciences, Roudehen Branch, Islamic Azad University, Tehran, Iran


This study was made to provide sociological explanation about social honesty effect on political participation. Since our community has undergone many changes during the time and considering that it has been changing from traditional society to a modern community, there is necessary need to have enough knowledge and recognition in context of quantity and quality of political participation more than ever.so that, political condition in one country, and in smaller classification as a city, can influence political awareness and behavior of people towards political and social issues. This study aimed at recognizing political participation and providing sociological explanation for social honesty effect on that. This research was performed in survey method and tools of study included the questionnaire. Statistical population included women and men aged between 18-65 years. Sample volume included 400 people in Gorgan city who were selected by stratified random sampling and they all were studied. Research results indicated that: there is relationship between honesty variables including speech and performing affairs, loyalty, and value behaviors and contacts with political participation. In addition, based on statistical tests performed on social-economic base, education level, age group and gender, it was identified that there is significant relationship between base, education and age groups with political participation. However there was no significant relationship between gender and political participation. In path analysis of direct and indirect effects of variables, results illustrated that maximum effect on political participation was related to honesty in behavior which included 0/248. Findings showed 0/084% changes in dependent variable are able to be explained by analytical model of path analysis.