Social Capital and Childbearing Tendencies with Emphasis on Generational Differences (Case Study: Babol City)

Reza Alipour, Y. Foroutan, M. Sharepour
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引用次数: 1

Abstract

Aim: The present study aims to investigate the effects of social capital components on childbearing tendencies with an emphasis on generational differences. Method: The statistical population of this study is people aged 15 years and older in Babol city. Using Cochran’s formula, 383 people were selected as the sample population and a multi-stage cluster sampling method was used. The research method, survey, and data collection tool was a researcher-made questionnaire whose validity was confirmed through face validity. The reliability of the items was obtained through Cronbach’s alpha of 0.8. Also, the theoretical framework of this study was a combination of theories of social capital and childbearing tendencies. Findings: The results of the Pearson test indicated a statistically significant correlation between some variables of social capital and childbearing tendencies. Furthermore, the results of generation regression analysis on some independent variables (trust, support, and real social network) and research dependent variables showed that 23.7% of the changes in these variables could be explained by generations. Also, the results of social capital regression analysis on childbearing tendencies revealed a relationship between the variables of social trust, social support, and real social network. Among these three variables, social support was found to be the strongest predictor variable with a beta coefficient of 0.387. The results of path analysis, like regression analysis, showed the effect of age, trust, support, and real social network variables on childbearing tendencies; in total, social support variable had the greatest overall effect on childbearing tendencies (0.492).
社会资本与生育倾向的代际差异研究(以巴宝勒市为例)
目的:本研究旨在探讨社会资本成分对生育倾向的影响,并强调代际差异。方法:本研究的统计人群为巴宝勒市15岁及以上人群。采用Cochran公式,选取383人作为样本总体,采用多阶段整群抽样方法。研究方法、调查内容和数据收集工具均为自编问卷,通过面效度验证效度。问卷的信度采用Cronbach’s alpha值为0.8。同时,本研究的理论框架是社会资本理论与生育倾向理论的结合。结果:Pearson检验结果显示,社会资本的部分变量与生育倾向之间存在显著的相关关系。此外,对一些自变量(信任、支持、真实社会网络)和研究因变量的代际回归分析结果显示,23.7%的这些变量的变化可以用代际来解释。社会资本对生育倾向的回归分析结果也揭示了社会信任、社会支持和真实社会网络三者之间的关系。在这三个变量中,社会支持是最强的预测变量,贝塔系数为0.387。与回归分析一样,通径分析的结果显示年龄、信任、支持和真实社会网络变量对生育倾向的影响;总体而言,社会支持变量对生育倾向的整体影响最大(0.492)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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