差异(会计)
先验与后验
蒙特卡罗方法
I类和II类错误
功率(物理)
校准
计算机科学
统计
计量经济学
数学
算法
量子力学
认识论
物理
会计
哲学
业务
作者
Mikkel Helding Vembye,James E. Pustejovsky,Terri Pigott
标识
DOI:10.31222/osf.io/6tp9y
摘要
Meta-analytic models for dependent effect sizes have grown increasingly sophisticated over the last few decades, which has created challenges for a priori power calculations. We introduce power approximations for tests of average effect sizes based upon several common approaches for handling dependent effect sizes. In a Monte Carlo simulation, we show that the new power formulas can accurately approximate the true power of meta-analytic models for dependent effect sizes. Lastly, we investigate the Type I error rate and power for several common models, finding that tests using robust variance estimation provide better Type I error calibration than tests with model-based variance estimation. We consider implications for practice with respect to selecting a working model and an inferential approach.
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