Data for: Response Surface Analysis: A Tutorial for Examining Linear and Curvilinear Effects" published by RAC-Revista de Administração Contemporânea
Published: 6 April 2021| Version 1 | DOI: 10.17632/n8kt46m78d.1
Antonio Carlos Rodrigues
This dataset was extracted by the paper Schönbrodt, F. D., Humberg, S., & Nestler, S. (2018). Testing similarity effects with dyadic response surface analysis. We renamed variables to illustration an example in supply chain: X = female predictor variable, Y = male predictor variable, Z_f = female outcome variable have been renamed in this tutorial Y = supplier dependence predictor variable, X = buyer dependence predictor variable, Z_b = buyer satisfaction outcome variable.
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