Comparing the accuracy of experimental estimates to guessing: a new perspective on replication and the "Crisis of Confidence" in psychology
Comparing the accuracy of experimental estimates to guessing: a new perspective on replication and the "Crisis of Confidence" in psychology
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DOI：
10.3758/s13428-013-0342-1
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发表时间：
2014-03-01
影响因子：
5.4
通讯作者：
Dana, Jason
中科院分区：
文献类型：
--
作者：
Davis-Stober, Clintin P.;Dana, Jason
我们开发了一个一般措施的估计精度的基础研究设计，称为v. v测量比较普遍存在的普通最小二乘（OLS）估计，其中包括样本均值作为一个特殊情况下，与基准估计随机化的治疗效果的方向的估计精度。对于实验心理学常见的样本和效应大小，v表明OLS产生的估计对于被测试的假设类型不够准确。我们演示了如何v可以用来确定样本量，以获得最低可接受的估计精度。计算v的软件作为在线补充材料（R Core Team，2012）。
We develop a general measure of estimation accuracy for fundamental research designs, called v. The v measure compares the estimation accuracy of the ubiquitous ordinary least squares (OLS) estimator, which includes sample means as a special case, with a benchmark estimator that randomizes the direction of treatment effects. For sample and effect sizes common to experimental psychology, v suggests that OLS produces estimates that are insufficiently accurate for the type of hypotheses being tested. We demonstrate how v can be used to determine sample sizes to obtain minimum acceptable estimation accuracy. Software for calculating v is included as online supplemental material (R Core Team, 2012).