A Unified Approach to Measurement Error and Missing Data: Details and Extensions
A Unified Approach to Measurement Error and Missing Data: Details and Extensions
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DOI：
10.1177/0049124115589052
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发表时间：
2017-08-01
影响因子：
6.3
通讯作者：
King, Gary
中科院分区：
文献类型：
--
作者：
Blackwell, Matthew;Honaker, James;King, Gary
我们扩展了一个统一的和易于使用的方法来测量误差和丢失的数据。在我们的配套文章中，Blackwell、Honaker和King直观地概述了这项新技术，并沿着提出了实用建议和经验应用。在这里，我们提供了更精确的技术细节，更复杂的测量误差模型规格和估计程序，并分析，以评估该方法的鲁棒性相关的测量误差和错误的分类变量。这些结果支持使用该技术，以减少偏见，提高效率，在各种各样的实证研究。
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model specifications and estimation procedures, and analyses to assess the approach's robustness to correlated measurement errors and to errors in categorical variables. These results support using the technique to reduce bias and increase efficiency in a wide variety of empirical research.