NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ979571
Record Type: Journal
Publication Date: 2012
Pages: 25
Abstractor: As Provided
Reference Count: N/A
ISBN: N/A
ISSN: ISSN-1554-7558
Treatment of Missing Data in Workforce Education Research
Gemici, Sinan; Rojewski, Jay W.; Lee, In Heok
Career and Technical Education Research, v37 n1 p75-99 2012
Most quantitative analyses in workforce education are affected by missing data. Traditional approaches to remedy missing data problems often result in reduced statistical power and biased parameter estimates due to systematic differences between missing and observed values. This article examines the treatment of missing data in pertinent quantitative analyses published in recent issues of Career and Technical Education Research. Next, essential missing data patterns and mechanisms are reviewed, and alternative methods of handling missing data are discussed. The article concludes with a comparison of missing data methods using a small sample from the National Longitudinal Survey of Youth 1997 to illustrate the detrimental effects of traditional approaches to handling missing data, and demonstrate the benefits of multiple imputation (MI) as an efficient modern missing data technique.
Association for Career and Technical Education Research. University of Illinois at Urbana-Champaign, Department of Human Resource Education, 1310 South Sixth Street, 351 Education Building, Champaign, IL 61820. Tel: 217-333-0807; Fax: 217-244-5632; Web site: http://www.public.iastate.edu/~laanan/actermain/publications.shtml
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Adult Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Longitudinal Survey of Youth