Consistency of Science research data in social network sites surveys

Abstract

Abstract: Social network sites provide new survey ways and platforms for science research investigators, whocan implement science research surveys in different survey situations based on different social network sites to make up for the problem of low sample coverage in a single survey mode. By using the CFA, this paper had studied the consistency of science research data between the anonymous survey and non-anonymous survey based on the Renren website and Tencent QQ platform. Ultimately, the results show that the science research data of two surveys meet complete consistency when using non-sensitive scales and science researchers can integrate these science research data directly.Nevertheless, the science research data of two surveys don't meet complete consistency by using sensitive scales. Only after relevant data preprocessing could science researchers integrate these science research data and conduct related statistical analysis.

Key words: web surveys, science research surveys, science research data, social network sites, consistency

CLC Number:

Zhu Wenlong, Shao Peiji, Fang Jiaming. Consistency of Science research data in social network sites surveys[J]. Science Research Management, 2014, 35(2): 154-160.

References

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