Bayesian Estimation Supersedes the t Test

被引:1088
作者
Kruschke, John K. [1 ]
机构
[1] Indiana Univ, Bloomington, IN 47405 USA
关键词
Bayesian statistics; effect size; robust estimation; Bayes factor; confidence interval; SAMPLE-SIZE DETERMINATION; CONFIDENCE-INTERVALS; STATISTICAL-INFERENCE; PRIOR SENSITIVITY; POWER; MODEL; HYPOTHESIS; PSYCHOLOGY; PROBABILITY; SIMULATION;
D O I
10.1037/a0029146
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. The method handles outliers. The decision rule can accept the null value (unlike traditional t tests) when certainty in the estimate is high (unlike Bayesian model comparison using Bayes factors). The method also yields precise estimates of statistical power for various research goals. The software and programs are free and run on Macintosh, Windows, and Linux platforms.
引用
收藏
页码:573 / 603
页数:31
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