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J Appl Psychol. 2001 Feb;86(1):114-21.

Accounting for common method variance in cross-sectional research designs.

Author information

  • 1Hazard Reduction and Recovery Center, Texas A&M University, College Station 77843-3137, USA. mlindell@archone.tamu.edu

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.

PMID:
11302223
[PubMed - indexed for MEDLINE]
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