A Test of the Null Hypothesis Significance Testing Procedure Correlation Argument
A Test of the Null Hypothesis Significance Testing Procedure Correlation Argument
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零假设显着性检验程序相关论证的检验
DOI：
10.3200/genp.136.3.261-270
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Stephen Rice
中科院分区：
文献类型：
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作者：
D. Trafimow;Stephen Rice
零假设显著性检验过程的一些支持者认识到，它所依赖的逻辑是无效的，因为它只产生给定零假设的数据的概率，而不是给定数据的零假设的概率（例如，J. Krueger，2001）。然而，支持者认为这个过程已经足够好了，因为他们相信如果给定零假设，数据的概率与给定数据的零假设的概率相关。本文作者的主要目标是检验所谓的相关性的大小。到目前为止，还没有其他研究人员这样做。目前的研究结果表明，相关性是令人印象深刻的，并没有提供一个令人信服的理由计算p值。此外，随着重要性规则变得更加严格（例如，0.01，0.001），则相关性降低。
Some supporters of the null hypothesis significance testing procedure recognize that the logic on which it depends is invalid because it only produces the probability of the data if given the null hypothesis and not the probability of the null hypothesis if given the data (e.g., J. Krueger, 2001). However, the supporters argue that the procedure is good enough because they believe that the probability of the data if given the null hypothesis correlates with the probability of the null hypothesis if given the data. The present authors' main goal was to test the size of the alleged correlation. To date, no other researchers have done so. The present findings indicate that the correlation is unimpressive and fails to provide a compelling justification for computing p values. Furthermore, as the significance rule becomes more stringent (e.g., .01, .001), the correlation decreases.