title: Accounting for common method variance in cross-sectional research designs.
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.
authors: Hazard Reduction and Recovery Center, Texas A&M University, College Station 77843-3137, USA. mlindell@archone.tamu.edu
authors: M K
authors: MK
authors: Lindell
authors: D J
authors: DJ
authors: Whitney
mesh_terms: D001290:Attitude; D001519:Behavior; D003430:Cross-Sectional Studies; D006801:Humans; D008962:Models, Theoretical; D011795:Surveys and Questionnaires