單因子隨機效果分析下之檢定力及樣本數計算-組內樣本數不相等

Abstract

在實驗設計上，樣本數的大小對於實驗的可靠度及信賴水準，扮演著舉足輕重的角色，在各項資源、成本有限的情況下，該如何抽取最適樣本數，來滿足並達到推論母體特性的成效？ 因此我們想要探討在隨機效果下，所抽樣的樣本數不相等的不平衡模式，估計組內相關係數的檢定力效果。

In the experimental design, sample size plays an important role in experimental reliability and confidence level. Under the constraints of costs and available resources, how can we determine the optimal sample size required to estimate characteristics of the population? In this research, we want to measure the power of intraclass correlation coefficient for the unbalanced case in the random effects model.