Abstract
The need for more theory building scholarship remains one of the pressing issues in the field of HRD. Researchers can employ quantitative, qualitative, and/or mixed methods to support vital theory-building efforts, understanding however that each approach has its limitations. The purpose of this article is to explore common method variance bias as one of the possible major threats to the validity of quantitative research findings upon which significant theory building relies. Common method variance has been shown to introduce systematic bias into a study by artificially inflating or deflating correlations, thereby threatening the validity of conclusions drawn about the links between constructs. Both procedural design and statistical control solutions are provided to minimize its likelihood in studies with monomethod designs. Finally, editors and reviewers are called upon to support knowledge-building about how best to handle common method variance bias in quantitative studies.
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