TY - JOUR
AU1 - Lindell, Michael K.
AU2 - Whitney, David J.
AB - Cross-sectional studies of attitude–behaviorrelationships are vulnerable to the inflation of correlations by common methodvariance (CMV). Here, a model is presented that allowspartial correlation analysis to adjust the observed correlations for CMVcontamination and determine if conclusions about the statistical and practicalsignificance of a predictor have been influenced by the presence of CMV.This method also suggests procedures for designing questionnaires to increasethe precision of this adjustment.
TI - Accounting for Common Method Variance in Cross-Sectional Research Designs
JF - Journal of Applied Psychology
DO - 10.1037/0021-9010.86.1.114
DA - 2001-02-01
UR - https://www.deepdyve.com/lp/american-psychological-association/accounting-for-common-method-variance-in-cross-sectional-research-mIoyYUDcdK
SP - 114
EP - 121
VL - 86
IS - 1
DP - DeepDyve
ER -