five

Replication data for: Arguing for a Negligible Effect

收藏
NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://doi.org/10.7910/DVN/23818
下载链接
链接失效反馈
官方服务:
资源简介:
Political scientists often theorize that an explanatory variable should have "no effect" and support this claim by demonstrating that its coefficient's estimate is not statistically significant. This empirical argument is quite weak, but I introduce applied researchers to simple, powerful tools that can strengthen their arguments for this hypothesis. With several supporting examples, I illustrate that researchers can use 90% confidence intervals to argue against meaningful effects and provide persuasive evidence for their hypothesis.
创建时间:
2015-10-15
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作