OPEN A NEW WINDOW IN RATIONAL RESEARCH PLANNING: ADJUST ALPHA TO MAXIMIZE STATISTICAL POWER
探讨了在应用心理学研究中优化统计功效的策略，重点提出在样本量和效应量固定时，通过调整显著性水平（阿尔法）来最大化统计功效，并提供了客观评估两类错误严重性的方法。
Alternative strategies for optimizing statistical power in applied psychological research are considered. Increasing sample size and combining predictors in order to yield a useful effect size are well‐known tactics for increasing power. A third approach, increasing alpha, is rarely used because of zealous adherence to convention. There are two related aspects in setting the alpha level. First, the relative seriousness of Type I and Type II errors must be considered. This assessment must then be qualified and redetermined after taking into account the prior probability that an effect exists. Procedures that make these processes objective are demonstrated. When sample size and effect size are both fixed, increasing alpha may be the only feasible strategy for maximizing power. It is concluded that a priori power analysis should be a major consideration in any test of an hypothesis, and that alpha level adjustment should be viewed as a useful strategy for increasing power.