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Will the Real Correlation Please Stand Up? An Examination of the Effectiveness of Statistical Corrections for Common Method Variance Using Data Simulation
Conference Proceedings, Presentations, and Speeches
  • Hettie A. Richardson, Louisiana State University
  • Marcia J. Simmering, Louisiana State University
  • Michael C. Sturman, Cornell University
Document Type
Conference Proceeding
Publication Date
1-1-2004
Abstract
A concern of researchers is the risk of measurement error due to common method variance (CMV) when using self-reported data. The present study addresses this concern by empirically comparing four techniques for correcting CMV. Eighteen simulated datasets, with varying degrees of method variance, group agreement, and reliability, were analyzed. Based on these analyses, benefits and drawbacks of correcting CMV using the different techniques are detailed. Recommendations for using the different techniques are also provided.
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©Southern Management Association. Reprinted with permission. All rights reserved.

Citation Information

Richardson, H., Simmering, M., & Sturman, M. (2004). Will the real correlation please stand up? An examination of the effectiveness of statistical corrections for common method variance using data simulation [Electronic version]. Proceedings of the Annual Meeting of the Southern Management Association, 435-440.