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- Publisher
- American Psychological Association
- Copyright
- Copyright © 2001 American Psychological Association
- ISSN
- 0021-9010
- eISSN
- 1939-1854
- DOI
- 10.1037/0021-9010.86.1.114
- Publisher site
- See Article on Publisher Site
Abstract
Cross-sectional studies of attitude–behaviorrelationships are vulnerable to the inflation of correlations by common methodvariance (CMV). Here, a model is presented that allowspartial correlation analysis to adjust the observed correlations for CMVcontamination and determine if conclusions about the statistical and practicalsignificance of a predictor have been influenced by the presence of CMV.This method also suggests procedures for designing questionnaires to increasethe precision of this adjustment.
Journal
Journal of Applied Psychology – American Psychological Association
Published: Feb 1, 2001