A researcher's guide to regression, discretization, and median splits of continuous variables
批评了将连续变量离散化（如中位数分割）并用方差分析的做法，指出其诸多弊端，建议保留连续变量并用线性回归分析，同时讨论了图形展示的实用建议。
Abstract We comment on Iacobucci, Posavac, Kardes, Schneider, and Popovich (2015) by evaluating the practice of discretizing continuous variables. We show that dichotomizing a continuous variable via the median split procedure or otherwise and analyzing the resulting data via ANOVA involves a large number of costs that can be avoided by preserving the continuous nature of the variable and analyzing the data via linear regression. As a consequence, we recommend that regression remain the normative procedure both when the statistical assumptions explored by Iacobucci et al. hold and more generally in research involving continuous variables. We also discuss the advantages of preserving the continuous nature of the variable for graphical presentation and provide practical suggestions for such presentations.