BETTER STATISTICS FOR BETTER DECISIONS: REJECTING NULL HYPOTHESES STATISTICAL TESTS IN FAVOR OF REPLICATION STATISTICS.
BETTER STATISTICS FOR BETTER DECISIONS: REJECTING NULL HYPOTHESES STATISTICAL TESTS IN FAVOR OF REPLICATION STATISTICS.
复制标题
更好的统计数据有助于更好的决策：拒绝零假设统计检验，支持复制统计数据。
DOI：
10.1002/pits.20239
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发表时间：
2007
影响因子：
2
通讯作者：
Killeen,PeterR
中科院分区：
文献类型：
--
作者：
Sanabria,Federico;Killeen,PeterR
尽管在过去的50年里受到了挑战，但由于缺乏可行的替代方案，零假设显著性检验（NHST）仍然在科学领域占据主导地位。NHST，沿着它的重要性levelp，不足以满足它的大多数用途，这是教育实践者特别感兴趣的一个缺陷，他们经常必须使用它来神圣化他们的研究。在这篇文章中，我们回顾了NHST的失败，并提出了一个更有用的统计数据，用于评估研究和辅助实际决策。© 2007 Wiley Periodicals，Inc. Psychol Schs 44：471-481，2007.
Despite being under challenge for the past 50 years, null hypothesis significance testing (NHST) remains dominant in the scientific field for want of viable alternatives. NHST, along with its significance levelp, is inadequate for most of the uses to which it is put, a flaw that is of particular interest to educational practitioners who too often must use it to sanctify their research. In this article, we review the failure of NHST and proposeprep, the probability of replicating an effect, as a more useful statistic for evaluating research and aiding practical decision making. © 2007 Wiley Periodicals, Inc. Psychol Schs 44: 471–481, 2007.