1399年马什哈德医学科学大学学术体系社会资本评估工具的开发

Yeganeh Heshmati, N. Naseri, M. Ghorbani
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引用次数: 0

摘要

背景:在每个社会,大学都是社会资本生产的第一线中心,其中,医学院校肩负着促进公共卫生服务和培养专业人才的重任,是最重要的。尽管如此,在波斯医科大学中还没有标准的社会资本评估工具。因此,本研究旨在开发一种测量马什哈德医科大学社会资本的工具,以提高教职员工和管理人员的社会资本水平,从而对该指标在健康教育和学生表现领域的发展产生重大影响。方法:本研究采用定量与定性相结合的方法,于2019-2020年在马什哈德医科大学开展。在定量部分,通过相关文献综述得出影响社会资本的不同变量,然后采用德尔菲法和专家小组意见进行最终确定。在定性部分,编制了适当的问卷,并采用结构方程法进行数据分析。最后,采用描述性统计方法对样本的社会学特征进行表征,并采用验证性因子分析对社会资本模型进行评估,使用SPSS软件版本20和LISREL版本8.8。结果:社会资本问卷共7个维度,27个成分对社会资本维度有影响。我们还发现,影响社会资本的因素有结构因素、交际因素、认知因素、管理因素、组织因素、群体因素和个人因素。同时,经Cronbach's alpha计算,社会资本问卷的总体信度为0.893,表明研究工具具有较高的信度,且各指标及其隐含结构或变量的各因子负荷的计算值t均在1.96以上。因此,问卷中测量概念的问题的有效性可以得到验证。结论:基于本研究结果;研究发现,马什哈德医科大学构建社会资本模型的有效成分包括社会资本结构维度中的社会问责制成分、社会资本沟通维度中的信任成分、社会资本个体维度中的正义感知和工作满意度成分、社会资本组织维度中的知识共享成分。这些因素应该引起大学教职员工的社会关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Tool for evaluating the Social Capital of the academic system in Mashhad University of Medical Sciences in 1399
Background: Universities are the first line of social capital production centers in every society, among which the medical universities are the most important because of their great duties to promote common health services and educate professional students. Despite this, there is no standard social capital assessment tool in medical science university in Persian. Therefore, the present study was designed to develop a tool for measuring social capital in Mashhad University of Medical Sciences, in order to improve the level of social capital of faculty members, staff and managers to have a significant impact on the development of this index in the field of health education and student performance. Methods: Integrating quantitative and qualitative method has been applied in the present study in Mashhad University of medical sciences during 2019-2020. In the quantitative part, different variables affecting on social capital, obtained using related literature reviews and then they were finalized using Delphi method and expert panels' opinions. In the qualitative part, the proper questionnaire prepared and data analysis performed using structural equation method. Finally, descriptive statistics methods were used to characterize the sociological   features of the sample and confirmatory factor analysis was used to evaluate the social capital model, using SPSS software version 20 and LISREL version 8.8. Results: We found 7 dimensions for social capital questionnaire and 27 components affecting on social capital dimensions. We also found that there are more different factors influencing on social capital such as structural, communicational, cognitive, management, organizational, group and individual. Also, the overall reliability of the Social Capital Questionnaire was calculated to be 0.893 in Cronbach's alpha, which indicates the high reliability of the research instrument, moreover the calculated values of t for each factor load of each indicator with its hidden structure or variable is above 1.96. Therefore, the Validity of the questionnaire questions to measure the concepts can be validated. Conclusion: Based on the findings of this study; we observed that effective components to develop the social capital model in Mashhad university of medical sciences include the component of social accountability system in the structural dimension of social capital, trust in the communication dimension of social capital, perception of justice and job satisfaction in the individual dimension of social capital and knowledge sharing in the organizational dimension of social capital. These components should be socially noticed by university faculty members.
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