Examining the ?Urban Legend? of Common Method Bias: Nine Common Errors and Their Impact

	This Article
	PDF RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Andrew Schwarz Articles by Colleen Schwarz Articles by Tracey Rizzuto

Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)

Examining the ?Urban Legend? of Common Method Bias: Nine Common Errors and Their Impact (PDF)

Waikoloa, Big Island, Hawaii

January 07-January 10

ISBN: 0-7695-3075-3

	ASCII Text	x
	Andrew Schwarz, Colleen Schwarz, Tracey Rizzuto, "Examining the ?Urban Legend? of Common Method Bias: Nine Common Errors and Their Impact," Hawaii International Conference on System Sciences, pp. 441, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008.

	BibTex	x
	@article{ 10.1109/HICSS.2008.155, author = {Andrew Schwarz and Colleen Schwarz and Tracey Rizzuto}, title = {Examining the ?Urban Legend? of Common Method Bias: Nine Common Errors and Their Impact}, journal ={Hawaii International Conference on System Sciences}, volume = {0}, year = {2008}, issn = {1530-1605}, pages = {441}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2008.155}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hawaii International Conference on System Sciences TI - Examining the ?Urban Legend? of Common Method Bias: Nine Common Errors and Their Impact SN - 1530-1605 SP EP A1 - Andrew Schwarz, A1 - Colleen Schwarz, A1 - Tracey Rizzuto, PY - 2008 VL - 0 JA - Hawaii International Conference on System Sciences ER -

Andrew Schwarz

Colleen Schwarz

Tracey Rizzuto

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2008.155

In this paper, we examine the "urban legend" of CMB and question the impact of nine common errors that researchers make when designing survey instrument. We define the nine most common errors and implement these errors in an empirical study of 537 undergraduate students enrolled in an Introductory Psychology course at a large southeastern university. By analyzing this data in PLS, we discover that each of the sources of CMB differently impacts the measurement and structural model for researchers.

Citation:

Andrew Schwarz, Colleen Schwarz, Tracey Rizzuto, "Examining the ?Urban Legend? of Common Method Bias: Nine Common Errors and Their Impact," hicss, pp.441, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.