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.
Keywords
Variance (accounting)Common-method variancePsychologyStatisticsVariance inflation factorEconometricsAnalysis of varianceInflation (cosmology)CorrelationExplained variationSocial psychologyMathematicsRegression analysisAccountingEconomics
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Publication Info
- Year
- 2001
- Type
- article
- Volume
- 86
- Issue
- 1
- Pages
- 114-121
- Citations
- 7382
- Access
- Closed
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Cite This
Michael K. Lindell,
David J. Whitney
(2001).
Accounting for common method variance in cross-sectional research designs..
Journal of Applied Psychology
, 86
(1)
, 114-121.
https://doi.org/10.1037/0021-9010.86.1.114
Identifiers
- DOI
- 10.1037/0021-9010.86.1.114