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

DSpace/Manakin Repository

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

Citable link to this page

 

 
Title: A Unified Approach to Measurement Error and Missing Data: Details and Extensions
Author: Blackwell, Matthew Lee; Honaker, James Allen; King, Gary ORCID  0000-0002-5327-7631

Note: Order does not necessarily reflect citation order of authors.

Citation: Blackwell, 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.
Full Text & Related Files:
Research Data: http://dx.doi.org/10.7910/DVN/29610
Abstract: We 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.
Published Version: doi:10.1177/0049124115589052
Other Sources: http://j.mp/1KbrWKX
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:25811016
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters