统计功效 [Statistical power]
定义: 统计功效是指当备择假设为真时,统计检验正确拒绝零假设时的长期概率。其取值范围为0至1,常以百分比表示。功效可基于所选显著性水平(α)、效应量及样本量进行估算。其主要应用包括:(1) 先验功效分析:旨在确定在特定效应量下,达到预期功效水平(如 X%)所需的样本量;(2) 敏感性分析:旨在评估在给定样本量和显著性水平下,能够以特定功效水平(如 X%)检测到的效应量大小。
相关术语: Effect Size, Meta-analysis, Null Hypothesis Significance Testing (NHST), Power Analysis, Positive Predictive Value, Quantitative research, Sample size, Significance criterion (alpha), Type I error, Type II error
参考文献:
- Carter, A., Tilling, K., & Munafo, M. R. (2021). Considerations of sample size and power calculations given a range of analytical scenarios. https://doi.org/10.31234/osf.io/tcqrn
- Cohen, J. (1962). The statistical power of abnormal-social psychological research: A review. The Journal of Abnormal and Social Psychology, 65(3), 145–153. https://doi.org/10.1037/h0045186
- Cohen, J. (1969). Statistical power analysis for the behavioral sciences. Academic Press.
- Dienes, Z. (2008). Understanding psychology as a science: An introduction to scientific and statistical inference. Macmillan International Higher Education.
- Giner-Sorolla, R., Aberson, C. L., Bostyn, D. H., Carpenter, T., Conrique, B. G., Lewis, N. A., & Soderberg, C. (2019). Power to detect what? Considerations for planning and evaluating sample size. Retrieved from https://osf.io/jnmya/
- Ioannidis, J. P. (2005). Why most published research findings are false. PLoS Medicine, 2(8), e124. https://doi.org/10.1371/journal.pmed.0020124
- Lakens, D. (2021). Sample Size Justification. https://doi.org/10.31234/osf.io/9d3yf
原稿作者: Thomas Rhys Evans
审阅者: James E. Bartlett, Jamie P. Cockcroft, Adrien Fillon, Emma Henderson, Tamara Kalandadze, William Ngiam, Catia M. Oliveira, Charlotte R. Pennington, Graham Reid, Martin Vasilev, Qinyu Xiao, Flávio Azevedo
翻译者: AI-driven translation tool "TransFlow" (developed by Jinbiao Yang and COSN OpenTransfer team)
译稿审阅者: Yu Xu, Liangjie Chen, Ruoting Liu, Xiujuan Wen, Shuxian Jin