A Unified Approach to Measurement Error and Missing Data: Details and Extensions

Citation:

Matthew Blackwell, James Honaker, and Gary King. 2017. “A Unified Approach to Measurement Error and Missing Data: Details and Extensions.” Sociological Methods and Research, 46, 3, Pp. 342-369. Publisher's Version Copy at http://j.mp/2nyavdx
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A Unified Approach to Measurement Error and Missing Data: Details and Extensions

Abstract:

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.

Notes:

This is the second of two articles to appear in the same issue of the same journal by the same authors.  The other one is “A Unified Approach to Measurement Error and Missing Data: Overview”.

DOI: DOI:10.1177/0049124115589052
Last updated on 07/20/2017