By Linda Rhoades Shanock, Benjamin E. Baran, Eric D. Heggestad
University of North Carolina at Charlotte
William A. Gentry
Center for Creative Leadership
Stacy Clever Pattison
U.S. Office of Personnel Management
Summary
Polynomial regression with response surface analysis is a sophisticated statistical approach that has become increasingly popular in multisource feedback research (e.g., self-observer rating discrepancy). The approach allows researchers to examine the extent to which combinations of two predictor variables relate to an outcome variable, particularly in the case when the discrepancy (difference) between the two predictor variables is a central consideration…
Citation
Shanock, L. R., Baran, B. E., Gentry, W. A., Pattison, S. C., & Heggestad, E. D. (2010). Polynomial regression with response surface Analysis: A Powerful Approach for Examining Moderation and Overcoming Limitations of Difference Scores. Journal of Business and Psychology, 25 (4), 543–554. https://doi.org/10.1007/s10869-010-9183-4