There has been considerable debate on how important goodness of fit is as a tool in regression analysis, especially with regard to the controversy on R 2 in linear regression. This article reviews some of the arguments of this debate and its relationship to other goodness of fit measures. It attempts to clarify the distinction between goodness of fit measures and other model evaluation tools as well as the distinction between model test statistics and descriptive measures used to make decisions on the agreement between models and data. It also argues that the utility of goodness of fit measures depends on whether the analysis focuses on explaining the outcome (model orientation) or explaining the effect(s) of some regressor(s) on the outcome (factor orientation).
Quality & Quantity – Springer Journals
Published: Oct 6, 2004
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