A primer for handling missing values in the analysis of education and training data

Share
Printer-friendly versionPrinter-friendly version

Permanent URL for this page: http://hdl.voced.edu.au/10707/237435.

Author: Gemici, Sinan; Bednarz, Alice; Lim, Patrick

Abstract:

Quantitative research in vocational education and training (VET) is routinely affected by missing or incomplete information. However, the handling of missing data in published VET research is often sub-optimal, leading to a real risk of generating results that can range from being slightly biased to being plain wrong. Given that the growing availability of data from large-scale surveys and administrative collections offers exciting new opportunities for quantitative VET research, it is important that researchers follow best-practice approaches when using such data in their own work....  [+] Show more

Subjects: Vocational education and training; Research; Youth

Keywords: Quantitative research; Research method

Geographic subjects: Australia; Oceania

Published: Maleny, Queensland: e-Content Management, 2012

Access item:

Request Item from NCVER
Publisher or alternative source

Journal volume: 10

Journal number: 3

Journal date: December 2012

Pages: pp. 233-250

ISBN: 9781921729881

ISSN: 1448-0220

Notes:
‘Contemporary and emergent methodological issues in VET research: dynamic boundaries and diverse approaches’ edited by Roslyn Cameron and R. E. (Bobby) Harreveld.

Resource type: Article

Peer reviewed: Yes

Call number: TD/TNC 111.57

Show Extra Info
QR Code for https://www.voced.edu.au/content/ngv%3A54733