Accounting for common method variance in cross-sectional research designs.
2001/01/01 by Michael K. Lindell, David J. Whitney · 146 citations
Economics, Econometrics and Finance · Mathematics · Psychology · #Economic and Environmental Valuation #Statistical Methods and Applications #Behavioral Health and Interventions
paper · doi:10.1037/0021-9010.86.1.114
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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