{"title":"分形散点图:一个简单的工具,使研究更容易和更好","authors":"Evan Starr, Brent D. Goldfarb","doi":"10.2139/ssrn.3257345","DOIUrl":null,"url":null,"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.","PeriodicalId":260073,"journal":{"name":"Mathematics eJournal","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Binned Scatterplots: A Simple Tool to Make Research Easier and Better\",\"authors\":\"Evan Starr, Brent D. Goldfarb\",\"doi\":\"10.2139/ssrn.3257345\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":260073,\"journal\":{\"name\":\"Mathematics eJournal\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematics eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3257345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3257345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Binned Scatterplots: A Simple Tool to Make Research Easier and Better
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.