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Sample size planning for statistical power and accuracy in parameter estimation.
Annual Review of Psychology ( IF 24.8 ) Pub Date : 2007-10-17 , DOI: 10.1146/annurev.psych.59.103006.093735
Scott E Maxwell 1 , Ken Kelley , Joseph R Rausch
Affiliation  

This review examines recent advances in sample size planning, not only from the perspective of an individual researcher, but also with regard to the goal of developing cumulative knowledge. Psychologists have traditionally thought of sample size planning in terms of power analysis. Although we review recent advances in power analysis, our main focus is the desirability of achieving accurate parameter estimates, either instead of or in addition to obtaining sufficient power. Accuracy in parameter estimation (AIPE) has taken on increasing importance in light of recent emphasis on effect size estimation and formation of confidence intervals. The review provides an overview of the logic behind sample size planning for AIPE and summarizes recent advances in implementing this approach in designs commonly used in psychological research.

中文翻译:

进行样本大小规划,以提高统计能力和参数估计的准确性。

这篇综述不仅从单个研究者的角度,而且在发展累积知识的目标方面,考察了样本量计划的最新进展。传统上,心理学家从功效分析的角度考虑样本量计划。尽管我们回顾了功率分析的最新进展,但我们的主要重点是希望获得准确的参数估计值,而不是获得足够的功率,或者除了获得足够的功率之外。鉴于最近对效果大小估计和置信区间的形成的重视,参数估计(AIPE)的准确性日益重要。这篇综述概述了AIPE样本量计划背后的逻辑,并总结了在心理学研究中常用的设计中实施这种方法的最新进展。
更新日期:2019-11-01
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