NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ992399
Record Type: Journal
Publication Date: 2012-Dec
Pages: 14
Abstractor: As Provided
Reference Count: 59
ISSN: ISSN-1448-0220
Use of Propensity Score Matching for Training Research with Observational Data
Gemici, Sinan; Rojewski, Jay W.; Lee, In Heok
International Journal of Training Research, v10 n3 p219-232 Dec 2012
Evaluations of vocational education and training (VET) programs play a key role in informing training policy in Australia and elsewhere. Increasingly, such evaluations use observational data from surveys or administrative collections to assess the effectiveness of VET programs and interventions. The difficulty associated with using observational data is that they are inherently prone to selection bias, which results from individuals self-selecting into a given VET program based on differences in background characteristics or other external factors. The effects of the VET program on outcomes of interest are thus confounded with the effects of pre-existing systematic differences between program participants and non-participants. Propensity score matching (PSM) can mitigate selection bias in evaluation studies with observational data by statistically balancing program participants and non-participants post hoc on observed background characteristics. This article seeks to offer a general introduction to PSM and to provide interested VET researchers with an initial stepping stone for using the method in their own work. (Contains 2 figures, 1 table and 2 footnotes.)
eContent Management Pty Ltd. P.O. Box 1027, Maleny, Queensland 4552, Australia. Tel: +61-7-5435-2900; Fax: +61-7-5435-2911; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Australia