Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The O*NET content model: strengths and limitations

The O*NET content model: strengths and limitations This paper describes the Occupational Information Network (O*NET), a relatively recent database containing measures of occupational characteristics produced by the United States Department of Labor as a replacement for the Dictionary of Occupational Titles. O*NET scores cover cognitive, interpersonal, and physical skill requirements, as well as working conditions, and are derived mostly from survey responses of large, representative samples of workers. O*NET’s substantive scope and sampling are impressive, but there are also significant gaps and duplication in content. Underlying constructs, item wording, and response options are often vague or overly complex. However, O*NET items have generally sensible correlations with wages, which, along with the richness of the database, ensure O*NET’s place among researchers interested in work and labour markets. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal for Labour Market Research Springer Journals

The O*NET content model: strengths and limitations

Journal for Labour Market Research , Volume 49 (2) – Feb 23, 2016

Loading next page...
 
/lp/springer-journals/the-o-net-content-model-strengths-and-limitations-7XqcViuh0q

References (21)

Publisher
Springer Journals
Copyright
Copyright © 2016 by The Author(s)
Subject
Economics; Labor Economics; Sociology, general; Human Resource Management; Economic Policy; Regional/Spatial Science; Population Economics
ISSN
1614-3485
eISSN
1867-8343
DOI
10.1007/s12651-016-0199-8
Publisher site
See Article on Publisher Site

Abstract

This paper describes the Occupational Information Network (O*NET), a relatively recent database containing measures of occupational characteristics produced by the United States Department of Labor as a replacement for the Dictionary of Occupational Titles. O*NET scores cover cognitive, interpersonal, and physical skill requirements, as well as working conditions, and are derived mostly from survey responses of large, representative samples of workers. O*NET’s substantive scope and sampling are impressive, but there are also significant gaps and duplication in content. Underlying constructs, item wording, and response options are often vague or overly complex. However, O*NET items have generally sensible correlations with wages, which, along with the richness of the database, ensure O*NET’s place among researchers interested in work and labour markets.

Journal

Journal for Labour Market ResearchSpringer Journals

Published: Feb 23, 2016

There are no references for this article.