articleTop 1% cited
Accounting for common method variance in cross-sectional research designs.
Journal of Applied Psychology · 2001 · Vol. 86(1) · pp. 114–121
Michael K. Lindell✉(Texas A&M University)David J. Whitney
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.
Economic and Environmental ValuationStatistical Methods and ApplicationsBehavioral Health and InterventionsVariance (accounting)Common-method variancePsychologyStatisticsVariance inflation factorEconometricsAnalysis of varianceInflation (cosmology)CorrelationExplained variation
MeSH terms
AttitudeBehaviorCross-Sectional StudiesHumansModels, TheoreticalSurveys and Questionnaires
Citations
7,646
FWCI
39.37
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27
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References
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Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior.
Journal of Applied Psychology · 1988 · 1,987 citations
Self-Reports in Organizational Research: Problems and Prospects
Journal of Management · 1986 · 16,735 citations
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Accounting for common method variance in cross-sectional research designs.
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