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Author Barrera-Barrera, Ramón ♦ Rizzuto, Tracey ♦ Schwarz, Andrew ♦ Carraher-Wolverton, Colleen ♦ Roldán, José L.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword Experimental design ♦ Structural equation model ♦ Common method bias
Abstract Common Method Bias (CMB) represents one of the most frequently cited concerns among Information System (IS) and social science researchers. Despite the broad number of commentaries lamenting the importance of CMB, most empirical studies have relied upon Monte Carlo simulations, assuming that all of the sources of bias are homogenous in their impact. Comparatively analyzing field-based data, we address the following questions: (1) What is the impact of different sources of CMB on measurement and structural models? (2) Do the most commonly utilized approaches for detecting CMB produce similar estimates? Our results provide empirical evidence that the sources of CMB have differential impacts on measurement and structural models, and that many of the detection techniques commonly utilized within the IS field demonstrate inconsistent accuracy in discerning these differences.
Description Affiliation: University of Louisiana at Lafayette, Lafayette, LA, USA (Carraher-Wolverton, Colleen) || Louisiana State University, Baton Rouge, LA, USA (Schwarz, Andrew; Rizzuto, Tracey) || University of Seville, Seville, Spain (Roldán, José L.; Barrera-Barrera, Ramón)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-02-28
Publisher Place New York
Journal ACM SIGMIS Database: the DATABASE for Advances in Information Systems (DATB)
Volume Number 48
Issue Number 1
Page Count 27
Starting Page 93
Ending Page 119

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Source: ACM Digital Library