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      Accounting for common method variance in cross-sectional research designs.

      The Journal of applied psychology
      Attitude, Behavior, Cross-Sectional Studies, Humans, Models, Theoretical, Questionnaires

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          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.

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          Author and article information

          Journal
          11302223
          10.1037/0021-9010.86.1.114

          Chemistry
          Attitude,Behavior,Cross-Sectional Studies,Humans,Models, Theoretical,Questionnaires
          Chemistry
          Attitude, Behavior, Cross-Sectional Studies, Humans, Models, Theoretical, Questionnaires

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