A Unified Approach to Measurement Error and Missing Data: Details and Extensions
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CitationBlackwell, M., J. Honaker, and G. King. 2015. “A Unified Approach to Measurement Error and Missing Data: Details and Extensions.” Sociological Methods & Research (June 22). doi:10.1177/0049124115589052.
AbstractWe extend a unified and easy-to-use approach to measurement error and missing data. Black-well, Honaker and King (2014) gives an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we other 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.
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