The continuing misuse of null hypothesis significance testing in biological anthropology.
The continuing misuse of null hypothesis significance testing in biological anthropology.
复制标题
生物人类学中零假设显着性检验的持续滥用。
DOI：
10.1002/ajpa.23399
复制
发表时间：
2018
影响因子：
2.8
通讯作者：
Richard J. Smith
中科院分区：
文献类型：
--
作者：
Richard J. Smith
There is over 60 years of discussion in the statistical literature concerning the misuse and limitations of null hypothesis significance tests (NHST). Based on the prevalence of NHST in biologic anthropology research, it appears that the discipline generally is unaware of these concerns. The p values used in NHST usually are interpreted incorrectly. A p value indicates the probability of the data given the null hypothesis. It should not be interpreted as the probability零假设是真实的，或者是针对零假设的任何特定替代品的证据。从非重要的结果中，美国统计协会在2016年的任意二分法发出了有关NHST误解的原则的声明，它首次在其180年的历史范围中就可以计算出更高的PER pers offer PER，这是第一次这样做。值和NHST。
There is over 60 years of discussion in the statistical literature concerning the misuse and limitations of null hypothesis significance tests (NHST). Based on the prevalence of NHST in biological anthropology research, it appears that the discipline generally is unaware of these concerns. The p values used in NHST usually are interpreted incorrectly. A p value indicates the probability of the data given the null hypothesis. It should not be interpreted as the probability that the null hypothesis is true or as evidence for or against any specific alternative to the null hypothesis. P values are a function of both the sample size and the effect size, and therefore do not indicate whether the effect observed in the study is important, large, or small. P values have poor replicability in repeated experiments. The distribution of p values is continuous and varies from 0 to 1.0. The use of a cut-off, generally p ≤ 0.05, to separate significant from nonsignificant results, is an arbitrary dichotomization of continuous variation. In 2016, the American Statistical Association issued a statement of principles regarding the misinterpretation of NHST, the first time it has done so regarding a specific statistical procedure in its 180-year history. Effect sizes and confidence intervals, which can be calculated for any data used to calculate p values, provide more and better information about tested hypotheses than p values and NHST.
DOI：
10.1111/j.2044-8317.2011.02037.x
发表时间：
2013-02
期刊：
The British journal of mathematical and statistical psychology
影响因子：
--
作者：
Gelman A;Shalizi CR
通讯作者：
Shalizi CR
影响因子：
2.4
作者：
Koch F;Ganzhorn JU;Rothman JM;Chapman CA;Fichtel C
通讯作者：
Fichtel C
固执破坏现实生活：再次强调为什么显着性检验是错误的
影响因子：
1.6
作者：
Gorard S
通讯作者：
Gorard S