Accounting for common method variance in cross-sectional research designs.
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- The Journal of applied psychology
دوره 86 1 شماره
صفحات -
تاریخ انتشار 2001