Bayesian Estimation Supersedes the t Test

被引：1088

作者：

Kruschke, John K. ^{[1
]}

机构：

[1] Indiana Univ, Bloomington, IN 47405 USA

来源：

JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL | 2013年 / 142卷 / 02期

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

页码：573 / 603

页数：31

共 94 条

[71] Bayesian t tests for accepting and rejecting the null hypothesis [J].