Mitigating Common Method Bias in Construction Engineering and Management Research
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 9
Abstract
The importance of reliability in conducting empirical research has been emphasized by construction engineering and management (CEM) scholars. Survey data commonly are used in empirical CEM studies. However, the use of such data in empirical analysis is susceptible to common method bias (CMB) issues, which can generate false correlations between dependent and explanatory variables, leading to spurious and unreliable results. To facilitate recent discussion about the rigorous application of research methodologies in CEM research, we provide a comprehensive overview of major CMB sources and examine articles published in the last 5 years to identify potential CMB issues in the Journal of Construction Engineering and Management. We found that approximately 90% of articles that used survey data in the empirical analysis were likely to be affected by CMB. The major source is the common rater effect, followed by the item characteristics effect and the measurement context effect. Because only a handful of studies tested or controlled for CMB, we propose effective and targeted ex ante procedural controls and ex post statistical controls to mitigate its negative impact. This study sheds light on an important and pervasive methodological issue in empirical CEM studies, and provides guidelines for improving the reliability of future empirical research in the CEM field.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This material is based in part upon work supported by the National Natural Science Foundation of China under Grant No. 72001160, the Fundamental Research Funds for the Central Universities under Grant No. 22120200364, the National Social Science Foundation of China under Grant No. 20BTJ030, the Social Science Planning Foundation of Shandong Province under Grant No. 16CTJJ01, and the Youth Innovation Program of Shandong Province under Grant No. 2019REW021. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.
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Journal of Construction Engineering and Management
Volume 148 • Issue 9 • September 2022
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© 2022 American Society of Civil Engineers.
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Received: Oct 21, 2021
Accepted: May 6, 2022
Published online: Jul 5, 2022
Published in print: Sep 1, 2022
Discussion open until: Dec 5, 2022
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