三种常用的缺失数据处理方法的比较:全案例分析、逆概率加权和多重插值

IF 6.5 2区社会学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS

Sociological Methods & Research Pub Date : 2022-08-05 DOI:10.1177/00491241221113873

Roderick J. Little, James R. Carpenter, Katherine J. Lee

引用次数: 10

摘要

数据缺失是数据分析中普遍存在的问题。解决这个问题的三种常用方法是:(a)完全案例分析，即只有在变量上完整的单元……

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Comparison of Three Popular Methods for Handling Missing Data: Complete-Case Analysis, Inverse Probability Weighting, and Multiple Imputation

Missing data are a pervasive problem in data analysis. Three common methods for addressing the problem are (a) complete-case analysis, where only units that are complete on the variables in an anal...

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来源期刊

Sociological Methods & Research Multiple-

CiteScore

16.30

自引率

3.20%

发文量

期刊介绍： Sociological Methods & Research is a quarterly journal devoted to sociology as a cumulative empirical science. The objectives of SMR are multiple, but emphasis is placed on articles that advance the understanding of the field through systematic presentations that clarify methodological problems and assist in ordering the known facts in an area. Review articles will be published, particularly those that emphasize a critical analysis of the status of the arts, but original presentations that are broadly based and provide new research will also be published. Intrinsically, SMR is viewed as substantive journal but one that is highly focused on the assessment of the scientific status of sociology. The scope is broad and flexible, and authors are invited to correspond with the editors about the appropriateness of their articles.