Abstract:
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 ni...Show MoreMetadata
Abstract:
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.
Published in: Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)
Date of Conference: 07-10 January 2008
Date Added to IEEE Xplore: 22 January 2008
Electronic ISBN:978-0-7695-3075-8
Print ISSN: 1530-1605
Contents 