Abstract
This article summarizes the main characteristics of Response Surface Methodology (RSM) and their connections with linear regression analysis. It also presents an example of the application of RSM to the study of person-organization (P-O) fit with real data from 591 subjects. First and second-order polynomial equations were estimated to describe the relationship between a measure of intent to leave and two person and organization commensurate measures. Results show the advantages of using RSM to avoid the traditional methodological problems in the study of P-O fit and to provide an appropriate interpretation of the three-dimensional relationship between O, P and a work outcome.
