A POWER PRIMER
A POWER PRIMER
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DOI：
10.1037/0033-2909.112.1.155
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发表时间：
1992-07-01
影响因子：
22.4
通讯作者：
COHEN, J
中科院分区：
文献类型：
--
作者：
COHEN, J
行为科学研究中统计功效分析持续被忽视的一个可能原因是标准材料难以获得或难以获得。此处提供了所需样本量的方便但不全面的介绍。对于操作上定义的小、中、大效应，给出了这些效应的最小大小索引和常规值。列出了8个标准统计检验的样本量，这些检验在这些水平上检测效应所需的.80把握度：（a）独立平均值之间的差异，（B）积差相关的显著性，（c）独立rs之间的差异，（d）符号检验，（e）独立比例之间的差异，（f）拟合优度和列联表的卡方检验，（g）单因素方差分析，和（h）多重或多重偏相关的显著性。
One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for.80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.