.png){kind=icon}
.png){kind=icon}
Return
Bayesian Estimation Supersedes the t Test
.png){kind=icon}
OA
AI
DOI：10.1037/a0029146.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Bayesian statistics
effect size
robust estimation
Bayes factor
confidence interval
Journal
J
IF:
3.5
Papers:
2.9K
Citations:
1.6W