论文标题
少时：显着性测试的陷阱
When More Is Less: Pitfalls of significance testing
论文作者
论文摘要
关于统计意义与科学相关性的争议已有100多年的历史。但是如今，零假设的显着性测试在许多经济学领域从心理学到医学到医学的许多经验领域被认为是黄金标准，而小型$ p $值通常是在高科学声誉期刊上发表的关键。我强调，说明和讨论三次统计显着性测试的潜在陷阱。
The controversy about statistical significance vs. scientific relevance is more than 100 years old. But still nowadays null hypothesis significance testing is considered as gold standard in many empirical fields from economics and social sciences over psychology to medicine, and small $p$-values are often the key to publish in journals of high scientific reputation. I highlight, illustrate and discuss potential pitfalls of statistical significance testing on three occasions.
