Document Type
Article
Publication Date
6-1-2014
Published In
Economics Letters
Abstract
Many promising efforts in the social sciences aim to measure future outcomes (such as wages or health outcomes) given some base level of human capital or ability. They typically fail to recognize the proxies for human capital are all measured with error, creating bias in regression analysis. Here I show how item level data offers the opportunity to improve a broad range of economic, social and psychometric studies, an opportunity now enhanced significantly by the new release of item response level data for the Armed Forces Qualifying Test in the 1979 National Longitudinal Survey of Youth. (c) 2014 Elsevier B.V. All rights reserved.
Recommended Citation
Lynne Steuerle Schofield.
(2014).
"Measurement Error In The AFQT In The NLSY79".
Economics Letters.
Volume 123,
Issue 3.
262-265.
DOI: 10.1016/j.econlet.2014.02.026
https://works.swarthmore.edu/fac-math-stat/80
Comments
This work is a preprint that has been provided to PubMed Central courtesy of Elsevier.