نوع مقاله : مقاله پژوهشی
نویسندگان
1 کارشناس ارشد دانشکده فنی و مهندسی، دانشگاه جامع امام حسین (ع)، تهران، ایران.
2 استادیار مرکز دانش و پژوهش، دانشکده هوش مصنوعی و علوم شناختی، دانشگاه جامع امام حسین (ع)، تهران، ایران (نویسنده مسئول). Email: mohammad_kamfiroozi@yahoo.com
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The perception of social security has always been recognized as a fundamental need and concern for individuals and societies. Social capital is one of the most crucial factors that enhances social security perception and ensures the existence of a healthy, vibrant, and peaceful society. This study aims to examine, through a meta-analytic approach, the effectiveness of social capital components and individual variables (as independent variables) in relation to social security perception (as the dependent variable). For this purpose, out of 75 studies investigating the relationship between these variables, 44 studies that met the necessary criteria for meta-analysis were selected and analyzed. The research method is documentary in nature. Data analysis was conducted using the CMA2 meta-analysis software and Excel. The research instrument was a meta-analysis checklist, whose validity was established as face validity. The meta-analysis results indicated that among social capital components, social trust (r̅ = 0.346), social awareness (r̅ = 0.303), trust in professional institutions (r̅ = 0.282), social participation (r̅ = 0.253), social relations (r̅ = 0.245), interpersonal trust (r̅ = 0.124), and social cohesion (r̅ = 0.102), and among individual variables, occupation (r̅ = 0.224), gender (r̅ = 0.161), and education (r̅ = 0.103) had the most significant impact on social security perception in Iran.
کلیدواژهها [English]
فهرست منابع
References