Accounting for common method variance in cross-sectional research designs.
2001/01/01 by Michael K. Lindell, David J. Whitney · 7,965 citations
Economics, Econometrics and Finance · Mathematics · Psychology · #Accounting #Analysis of variance #Behavioral Health and Interventions #Common-method variance #Correlation #Econometrics #Economic and Environmental Valuation #Economics #Explained variation #Inflation (cosmology) #Mathematics #Psychology #Regression analysis #Social psychology #Statistical Methods and Applications #Statistics #Variance (accounting) #Variance inflation factor
paper · doi:10.1037/0021-9010.86.1.114
published in Journal of Applied Psychology 86(1), 114-121 (American Psychological Association)
openalex publication_date 2001/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Abstract
Cross-sectional studies of attitude-behavior relationships are vulnerable to the inflation of correlations by common method variance (CMV). Here, a model is presented that allows partial correlation analysis to adjust the observed correlations for CMV contamination and determine if conclusions about the statistical and practical significance of a predictor have been influenced by the presence of CMV. This method also suggests procedures for designing questionnaires to increase the precision of this adjustment.
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