A review of techniques for treating missing data in OM survey research

Journal of Operations Management · 2005 · Volume 24 · Issue 1

DOI: 10.1016/j.jom.2005.03.001

Abstract

The treatment of missing data has been overlooked by the OM literature, while other fields such as marketing, organizational behavior, economics, statistics and psychometrics have paid more attention to the issue. A review of 103 survey-based articles published in theJournal of Operations Managementbetween 1993 and 2001 shows that listwise deletion, which is often the least accurate technique of dealing with missing data, is heavily utilized by OM researchers. The paper also discusses the research implications of missing data, types of missing data and concludes with recommendations on which techniques should be used under different circumstances in order to improve the treatment of missing data in OM survey research.

Keywords

Missing data, Empirical research, Measurement and methodology

Enable JavaScript for citation tools and additional paper interactions.