Accounting for common method variance in cross-sectional research designs
成果类型：
Article
署名作者：
Lindell, MK; Whitney, DJ
署名单位：
Texas A&M University System; Texas A&M University College Station; California State University System; California State University Long Beach
刊物名称：
JOURNAL OF APPLIED PSYCHOLOGY
ISSN/ISSBN：
0021-9010
DOI：
10.1037//0021-9010.86.1.114
发表日期：
2001
页码：
114-121
关键词：
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.
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