Minimizing Method Bias Through Programmatic Research1
Author:
- 1 September 2009
- journal article
- Published by MIS Quarterly in MIS Quarterly
- Vol. 33 (3) , 445-471
Abstract
Researchers have long known that research methods influence construct measurements and that this influence, or method bias, can lead to false conclusions. Despite much work in the methodological literature on specific aspects of method bias, such as common method bias and self-report bias, the meaning of method bias remains unclear, and there is no comprehensive approach for dealing with it. This paper offers a clear definition of method bias, proposes a more comprehensive approach for dealing with it, and describes a demonstration exercise applying the approach in an empirical study of how individual system use and task performance relate. The demonstration suggests that the approach is feasible and illustrates how it can help researchers test theories and identify new research opportunities.Keywords
This publication has 67 references indexed in Scilit:
- Measuring the Mind2005
- The effects of feedback on judgmental interval predictionsInternational Journal of Forecasting, 2004
- The C-OAR-SE procedure for scale development in marketingInternational Journal of Research in Marketing, 2002
- Accounting for common method variance in cross-sectional research designs.Journal of Applied Psychology, 2001
- Verifying Drug Abuse Prevention Program Effects Using Reciprocal Best Friend ReportsJournal of Behavioral Medicine, 2000
- Context, Cognition, and Common Method Variance: Psychometric and Verbal Protocol EvidenceOrganizational Behavior and Human Decision Processes, 1996
- Using self‐report questionnaires in OB research: A comment on the use of a controversial methodJournal of Organizational Behavior, 1994
- Method Variance in Organizational Behavior and Human Resources Research: Effects on Correlations, Path Coefficients, and Hypothesis TestingOrganizational Behavior and Human Decision Processes, 1994
- Percept-percept inflation in microorganizational research: An investigation of prevalence and effect.Journal of Applied Psychology, 1994
- What do data really mean? Research findings, meta-analysis, and cumulative knowledge in psychology.American Psychologist, 1992