以所需精度估计均值的标准化线性对比。

Estimating standardized linear contrasts of means with desired precision.

作者信息

Bonett Douglas G

机构信息

Department of Statistics, Iowa State University, Ames 50011, USA.

出版信息

Psychol Methods. 2009 Mar;14(1):1-5. doi: 10.1037/a0014270.

DOI:10.1037/a0014270

PMID:19271844

Abstract

L. Wilkinson and the Task Force on Statistical Inference (1999) recommended reporting confidence intervals for measures of effect sizes. If the sample size is too small, the confidence interval may be too wide to provide meaningful information. Recently, K. Kelley and J. R. Rausch (2006) used an iterative approach to computer-generate tables of sample size requirements for a standardized difference between 2 means in between-subjects designs. Sample size formulas are derived here for general standardized linear contrasts of k > or = 2 means for both between-subjects designs and within-subjects designs. Special sample size formulas also are derived for the standardizer proposed by G. V. Glass (1976).

摘要

L. 威尔金森和统计推断特别工作组（1999年）建议报告效应量测量的置信区间。如果样本量太小，置信区间可能会太宽而无法提供有意义的信息。最近，K. 凯利和J. R. 劳施（2006年）采用迭代方法通过计算机生成了被试间设计中两组均值标准化差异所需样本量的表格。本文推导了被试间设计和被试内设计中k≥2个均值的一般标准化线性对比的样本量公式。还针对G. V. 格拉斯（1976年）提出的标准化方法推导了特殊的样本量公式。