调解
样本量测定
功率(物理)
计算机科学
蒙特卡罗方法
心理学
软件
数据科学
样品(材料)
统计
数学
物理
量子力学
色谱法
化学
程序设计语言
法学
政治学
作者
Alexander M. Schoemann,Aaron J. Boulton,Stephen D. Short
标识
DOI:10.1177/1948550617715068
摘要
Mediation analyses abound in social and personality psychology. Current recommendations for assessing power and sample size in mediation models include using a Monte Carlo power analysis simulation and testing the indirect effect with a bootstrapped confidence interval. Unfortunately, these methods have rarely been adopted by researchers due to limited software options and the computational time needed. We propose a new method and convenient tools for determining sample size and power in mediation models. We demonstrate our new method through an easy-to-use application that implements the method. These developments will allow researchers to quickly and easily determine power and sample size for simple and complex mediation models.
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