This paper is concerned with an empirical study on the database of 2010(the 8th) Civic Science literacy Survey of China. By learning from latest theoretical achievements of relevant scholars and considering the features of Chinese practice, the author extracted a Model of China Public Understanding of Science(PUS) Index from the latest Civic Scientific Literacy questionnaire .The constructed China PUS Index contains 5 indicators as following: Knowledge (public knowledge of S&T), Attitude (public attitude toward S&T), Interest(public interests in S&T), Engagement (public engagement of S&T )and Information (the information channels of S&T). Confirmatory factor analysis (CFA) accompany with other relevant statistical methods, was applied to evaluate the validity of this Index model. Under the framework of China PUS Index, the Author profiled several characteristics of China public understanding of science at present stage, and provided an open platform for further comparative study under different social and cultural contexts in PUS field.

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Construction of PUS index in China
An empirical study on the database of China 2010 civic science literacy survey

Fujun Ren   China Research Institute for Science Popularization (CRISP)

Xuan Liu   China Research Institute for Science Popularization (CRISP)

Wei He   China Research Institute for Science Popularization (CRISP)

Lei Ren   China Research Institute for Science Popularization (CRISP)

This paper is concerned with an empirical study on the database of 2010(the 8th) Civic Science literacy Survey of China. By learning from latest theoretical achievements of relevant scholars and considering the features of Chinese practice, the author extracted a Model of China Public Understanding of Science(PUS) Index from the latest Civic Scientific Literacy questionnaire .The constructed China PUS Index contains 5 indicators as following: Knowledge (public knowledge of S&T), Attitude (public attitude toward S&T), Interest(public interests in S&T), Engagement (public engagement of S&T )and Information (the information channels of S&T). Confirmatory factor analysis (CFA) accompany with other relevant statistical methods, was applied to evaluate the validity of this Index model. Under the framework of China PUS Index, the Author profiled several characteristics of China public understanding of science at present stage, and provided an open platform for further comparative study under different social and cultural contexts in PUS field.

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