Accounting for Common Method Variance in Cross-sectional Research Designs

Overview

Journal J Appl Psychol

Publisher American Psychological Association

Specialty Psychology

Date 2001 Apr 17

PMID 11302223

Citations 254

Authors

M K Lindell

D J WHITNEY

Affiliations

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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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