期刊论文详细信息
جامعه شناسی کاربردی
Social-economic factors related to generous and shahed youths, social response ability in province of Kermanshah
Ali Moradi1  Mohsen Safarian2 
[1] Azad University Islam Abad Gharb;Payamnoor University, Iran;
关键词: Social Responsibility;    Self –estimate;    Social Capital;    Religious Attitude;   
DOI  :  10.22108/jas.2016.20499
来源: DOAJ
【 摘 要 】

To follow the social regulations and adapt them with expectations of social role for social consistency whether in the same aged groups or in a family is important ,and such skills, absence can have a great affect on people. the main purpose of this study is  to clarify and predict social-economic factors related to generous and shahed youths social responsibility in province of Kermanshah. nowadays  In the community, among most of generous and shahed off springs the commitment and faithfulness matter to duties  and morals and also the martyrdom value in most of them have been degraded and even many of them don't feel responsibility toward this phenomenon .the data through structural questionnaire gathered for 500 randomly selected generous and shahed youths. for dynamic and lasting of tool meter ,the alpha statistical methods of Chronbach, for testing hypotheses ,the Pearson solidarity coefficient, for evaluating the comparison of averages and regression and path analysis for research model evaluation were used .based on research findings there is a meaningful relation between age (r=o.19),tyrannical offspring bringing up style (r=-o.259), easy-oriented offspring bringing up style (r=-o.180), self-estimate (r=o.207), religious orientation (r=o.464)and social investment (r=o.344)with youths social responsibility. Regression results show that the dependence variable is directly influenced by social investment (Beta =o.45), religious attitudes (Beta =o.23), self - respect (Beta =o.14) ,social identity (Beta =o.19), offspring bringing up style (Beta =-o.18)and people membership in agencies variables (Beta =o.14) and totally these six variables could predict 35% (percent) (r2 =o,35)of changes regarding dependent variable.

【 授权许可】

Unknown   

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