Anticipating, avoiding, and alleviating measurement error: A synthesis of the literature with practical recommendations

Authors

• Sander Paul Zwanenburg, University of OtagoFollow
• Israr Qureshi, Professor of Social Entrepreneurship and ICTD Australian National University Research School of ManagementFollow

Author ORCID Identifier

Sander Paul Zwanenburg https://orcid.org/0000-0001-8049-3324
Israr Qureshi

Document Type

Selected papers from the Australasian Conference on Information Systems (ACIS)

Abstract

Researchers’ ability to draw inferences from their empirical work hinges on the degree of measurement error. The literature in Information Systems and other behavioural disciplines describes a plethora of sources of error. While it helps researchers deal with them when taking specific steps in the measurement process, like modelling constructs, developing instruments, collecting data, and analysing data, it does not provide an overall guide to help them prevent and deal with measurement error. This paper presents a synthesis of the insights in the literature through a decomposition of the logic of measurement. It shows how researchers can classify sources of error, evaluate their impact, and refine their measurement plans, in terms of specific steps or overall measurement approaches. We hope this will aid researchers in anticipating, avoiding, and alleviating error in measurement, and in drawing valid research conclusions.

Recommended Citation

Zwanenburg, Sander Paul and Qureshi, Israr (2019) "Anticipating, avoiding, and alleviating measurement error: A synthesis of the literature with practical recommendations," The Australasian Journal of Information Systems: Vol. 23: No. 1, Article 15.
DOI: 10.3127/ajis.v23i0.1844
Available at: https://aisel.aisnet.org/ajis/vol23/iss1/15