基于CIA法的网络调查数据质量影响因素研究

Research on Important Factors of Data Quality in Network Surveys Based on CIA

网络调查数据质量的影响因素对提升网络调查数据质量起到了重要作用。文章基于网络调查数据质量影响因素之间的相互关系,尝试将CIA(Cross-Impact Analysis,交叉影响分析)法引入网络调查数据质量影响因素分析中,并借助马尔科夫链的预测概念修正了各影响因素在交叉影响后的概率,从而得出结论:网络调查的目的性和有效性是影响网络调查数据质量的重要因素。CIA法为更加科学有效地研究网络调查数据质量提出了新的思路。

Influential factors of data quality in network surveys play an important role in improving the data quality of network s surveys. Based on the relationships among the factors, the author tries to use Cross-Impact Analysis Method to get the final probability of each factor with the helping of the definition of Markov chain. Final results show that the purpose and effectiveness of net surveys are the important factors which influence the data quality. In addition, CIA becomes an effective way to study on the data quality in network surveys.