社交网站调查的科研数据一致性研究

Consistency of Science research data in social network sites surveys

社交网站为科研调查者提供了新的调查途径与平台,科研调查者可基于不同社交网站平台,在不同调查情景中实施科研调查以弥补单一调查模式样本涵盖率低的缺陷。论文以人人网、腾讯QQ为例,采用验证性因子分析法,研究了匿名调查与非匿名调查获取科研数据的一致性问题。研究结果表明:非敏感性量表下两类调查数据具备完全一致性,科研人员可将所得数据直接整合;对于敏感性量表,两类调查数据不具备完全一致性,科研人员只有对获取数据进行相关预处理后,才可进行数据整合及相关统计分析。

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 Teneent QQ platform. Ultimately, the resuits 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.