Polynomial regression with response surface analysis: A powerful approach for examining moderation and overcoming limitations of difference scores

Linda Rhoades Shanock, Benjamin E. Baran, Eric D. Heggestad – University of North Carolina at Charlotte, William A. Gentry, Stacy Clever Pattison – U.S. Office of Personnel Management


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…


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

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