Imputation methods for handling item-nonresponse in practice: methodological issues and recent debates
Imputation methods for handling item-nonresponse in practice: methodological issues and recent debates
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DOI：
10.1080/13645570802394003
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发表时间：
2009-01-01
影响因子：
3.3
通讯作者：
Durrant, Gabriele B.
中科院分区：
文献类型：
--
作者：
Durrant, Gabriele B.
无应答是社会科学家在分析调查数据时经常面临的一个主要问题。存在一个范围来估算缺失的回答，但这些方法之间的选择可能很困难。本文回顾了各种估算方法的优缺点，并就如何在实践中使用这些方法提供了指导。本文向读者介绍了新文献归责的主要思路和方法。对于那些已经熟悉估算的人，本文强调了一些新的发展和最近的辩论。本文讨论了一个例子，从社会科学，应用几种估算方法，一个失踪的收入变量。其目的是说明在一个真实的数据的例子之间的方法选择时的基本考虑因素，并建议从业人员在使用这些方法。
Nonresponse is a major problem often faced by social scientists when analysing survey data. A range exists to impute the missing responses but the choice between these methods may be difficult. This paper reviews advantages and disadvantages of a range of imputation methods and provides guidance on how to use such methods in practice. The paper introduces the reader new to the imputation literature to key ideas and methods. For those already familiar with imputation, the paper highlights some new developments and recent debates. The paper discusses an example from the social sciences, applying several imputation methods to a missing earnings variable. The objective is to illustrate in a real data example basic considerations when choosing between methods and to advise practitioners in the use of such methods.