Binned Scatterplots: A Simple Tool to Make Research Easier and Better

Evan Starr, Brent D. Goldfarb
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引用次数: 33

Abstract

We seek to diffuse a graphical tool—binned scatterplots—which we argue can dramatically improve the quality and speed of research in strategic management. In contrast to the current practice of showing plots of predicted values, binned scatterplots graph the non-parametric relationship between two variables, either unconditionally or conditional on a set of controls, for multiple subgroups. This allows researchers to quickly detect the shape of that relationship, examine outliers, and assess which part of the support may be driving a relationship. We propose that the adoption of binned scatterplots will lead to the identification of new and interesting phenomena, raise the credibility of empirical research, and help create richer theories.
分形散点图:一个简单的工具,使研究更容易和更好
我们试图扩散一种图形化的工具,我们认为这种工具可以极大地提高战略管理研究的质量和速度。与当前显示预测值图的做法相反,分箱散点图显示了多个子组的两个变量之间的非参数关系,可以是无条件的,也可以是一组控制条件。这使得研究人员能够快速发现这种关系的形状,检查异常值,并评估支持的哪一部分可能推动了这种关系。我们认为,采用分形散点图将有助于发现新的和有趣的现象,提高实证研究的可信度,并有助于创造更丰富的理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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