| Literature DB >> 11302223 |
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.Mesh:
Year: 2001 PMID: 11302223 DOI: 10.1037/0021-9010.86.1.114
Source DB: PubMed Journal: J Appl Psychol ISSN: 0021-9010