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Accounting for Common Method Variance in Cross-Sectional Research Designs

Accounting for Common Method Variance in Cross-Sectional Research Designs 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Psychology American Psychological Association

Accounting for Common Method Variance in Cross-Sectional Research Designs

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References (25)

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 PsychologyAmerican Psychological Association

Published: Feb 1, 2001

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