期刊
THEORY & PSYCHOLOGY
卷 18, 期 1, 页码 69-88出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0959354307086923
关键词
likelihood ratios; null hypothesis; (overlapping) confidence intervals; p values; posterior probabilities; replication
Reporting p values from statistical significance tests is common in psychology's empirical literature. Sir Ronald Fisher saw the p value as playing a useful role in knowledge development by acting as an 'objective' measure of inductive evidence against the null hypothesis. We review several reasons why the p value is an unobjective and inadequate measure of evidence when statistically testing hypotheses. A common theme throughout many of these reasons is that p values exaggerate the evidence against H-0. This, in turn, calls into question the validity of much published work based on comparatively small, including.05, p values. Indeed, if researchers were fully informed about the limitations of the p value as a measure of evidence, this inferential index could not possibly enjoy its ongoing ubiquity. Replication with extension research focusing on sample statistics, effect sizes, and their confidence intervals is a better vehicle for reliable knowledge development than using p values. Fisher would also have agreed with the need for replication research.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据