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A study on applications of the structural equation modeling to the analysis of how the influential factors affect the Chinese citizens' scientific literacy and a comparative investigation

机译:应用结构方程模型分析影响因素对中国公民科学素养的影响及比较研究

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This paper is based on data of China Civic Scientific literacy Survey in 2010, using confirmatory factor analysis (CFA) to extract factors of Engagement (public engagement of SP environment) and Information (the information sources of S&T).; using the structural equation modeling (SEM) to build the model of civic scientific literacy and its influential factors. It examines a quantitative description of how these influential factors affect the Chinese citizens' scientific literacy by using the structural equation model to test the reliability and validity and makes a comparative research with the work done by American researchers. It summarizes different social context in US and China result in different influential factors which affect civic scientific literacy. It has made an attentive effort to improve the level of Chinese citizens scientific literacy and Chinese public understanding of science.
机译:本文基于2010年中国公民科学素养调查的数据,采用验证性因子分析(CFA)提取参与度(SP环境的公众参与)和信息(S&T的信息来源)的因子。利用结构方程模型(SEM)建立公民科学素养模型及其影响因素。它通过使用结构方程模型检验信度和效度,来定量分析这些影响因素如何影响中国公民的科学素养,并与美国研究人员所做的工作进行比较研究。它总结了美国和中国不同的社会背景导致影响公民科学素养的不同影响因素。中国为提高中国公民的科学素养和中国公众对科学的理解水平做出了不懈的努力。

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