Accounting for Common Method Variance in Cross-Sectional Research Designs

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...

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Bibliographic Details
Published in:Journal of applied psychology 2001-02, Vol.86 (1), p.114-121
Main Authors: Lindell, Michael K, Whitney, David J
Format: Article
Language:English
Subjects:
Applied psychology
Attitude
Attitudes
Behavior
Behavioural sciences
Biological and medical sciences
Correlation
Cross-Sectional Studies
Experimental Design
Fundamental and applied biological sciences. Psychology
Humans
Individual behaviour
Interaction Variance
Methodology
Methodology. Experimentation
Models, Theoretical
Perception
Psychology
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychometrics. Statistics. Methodology
Rational choice
Social sciences research
Statistical Analysis
Statistics
Studies
Surveys and Questionnaires
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Summary: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.
ISSN:0021-9010
1939-1854
DOI:10.1037/0021-9010.86.1.114