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Mahwah, NJ: Lawrence Erlbaum Associates.Įdwards, J. Applied multiple regression/correlation analysis for the behavioral sciences. New York: Wiley.Ĭohen, J., Cohen, P., West, S. Empirical model-building and response surfaces.
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Self-other agreement: Does it really matter? Personnel Psychology, 51, 577–598.īox, G. Journal of Organizational Behavior, 24, 491–509.Ītwater, L.
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Perceived organizational support and psychological contracts: A theoretical integration. Newbury Park, CA: Sage.Īselage, J., & Eisenberger, R. Multiple regression: Testing and interpreting interactions. Finally, we discuss how this approach is a better, more informative alternative to difference scores and can be applied to the examination of two-way interactions in moderated regression.Īiken, L. Our example involves how discrepancies in perceived supervisor and organizational support relate to affective commitment.
#Polynomial regression excel how to
We also walk through a step-by-step example of how to conduct polynomial regression and response surface analysis and provide all the tools you will need to do the analyses and graph the results (including SPSS syntax, formulas, and a downloadable Excel spreadsheet). To enhance interest and use of this technique, we provide ideas for future research directions that might benefit from the application of this analytic tool. We believe this approach has potential for application to a wide variety of research questions. 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. 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).