Accounting for common method variance in cross-sectional research designs

被引：6291

作者：

Lindell, MK ^{[1
]}

Whitney, DJ

机构：

[1] Texas A&M Univ, Hazard Reduct & Recovery Ctr, College Stn, TX 77843 USA

[2] Calif State Univ Long Beach, Dept Psychol, Long Beach, CA 90840 USA

来源：

JOURNAL OF APPLIED PSYCHOLOGY | 2001年 / 86卷 / 01期

关键词：

D O I：

10.1037//0021-9010.86.1.114

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

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 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.

引用

页码：114 / 121

页数：8

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