Understanding statistical power in the context of applied research
Understanding statistical power in the context of applied research
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DOI：
10.1016/j.apergo.2004.01.002
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发表时间：
2004-03-01
影响因子：
3.2
通讯作者：
Baguley, T
中科院分区：
文献类型：
--
作者：
Baguley, T
统计功效的估计被广泛用于应用研究，例如样本量计算。本文回顾了功效和样本量估计的好处，并考虑了在应用研究中使用功效计算的几个问题，这些问题是由于误解或误用统计功效造成的。这些问题包括使用回顾性功效计算和效应量的标准化测量。增加拟议研究功效的方法，不涉及仅仅增加样本量（如减少测量误差）。增加自变量的“剂量”并优化设计）Lire指出。它的结论是，应用研究人员应考虑更广泛的因素（比样本量），影响统计的权力，并应避免使用标准化的措施效果大小（除利斯中间阶段的前瞻性权力或样本量计算）。(C)2004 Elsevier Ltd.保留所有权利。
Estimates of statistical power are widely used in applied research for purposes such as sample size calculations. This paper reviews the benefits of power and sample size estimation and considers several problems with the use of power calculations in applied research that result from misunderstandings or misapplications of statistical power. These problems include the use of retrospective power calculations and standardized measures of effect size. Methods of increasing the power of proposed research that do not involve merely increasing sample size (such Lis reduction in measurement error. increasing 'dose' of the independent variable and optimizing the design) Lire noted. It is concluded that applied researchers should consider a broader range of factors (other than sample size) that influence statistical power, and that the use of standardized measures of effect size should be avoided (except Lis intermediate stages in prospective power or sample size calculations). (C) 2004 Elsevier Ltd. All rights reserved.