社会网络分析中重建法与多重插补法的比较研究
A Comparison Study of Reconstruction and Multiple Imputation in Social Network Analysis
DOI: 10.12677/AP.2018.84076, PDF,  被引量    科研立项经费支持
作者: 黄兆锋：嘉应学院，广东 梅州；黄菲菲：华南师范大学心理学院，广东 广州
关键词: 社会网络分析；缺失数据；重建法；多重插补法；Social Network Analysis； Missing Data； Reconstruction； Multiple Imputation
摘要: 文章将社会网络分析中的缺失数据作为研究着眼点，从网络调查中的无应答缺失原因的角度分析了单一插补方法的特点及局限性，并在介绍重建法和多重插补法原理的基础上，通过蒙特卡洛(Monte Carlo)数据模拟技术对两种方法进行比较研究。结果表明：在社会网络分析中，重建法和多重插补法在不同缺失机制情况下对缺失数据处理的准确性大致相当；和重建法相比，多重插补法在不同缺失机制情况下对缺失数据的处理具有更高的可靠性。
Abstract: Focusing on missing data and based on the introduction of principle of Reconstruction and Mul-tiple Imputation, this article analyzed the strengths and limitations from the respective of non-response missing data in social network analysis. It also made a comparison between the two methods by Monte Carlo simulation. The results were as follows: Reconstruction and Multiple Imputation were of the roughly accuracy for missing data under different missingness circumstances in the social network analysis. Comparing to Reconstruction, Multiple Imputation was much more reliable for missing data in different missingness situations.
文章引用：黄兆锋, 黄菲菲 (2018). 社会网络分析中重建法与多重插补法的比较研究. 心理学进展, 8(4), 642-648. https://doi.org/10.12677/AP.2018.84076

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