Journal of Experimental Psychology General· 2012Q1
Bayesian estimation supersedes the t test.
- 1,560citations
- Q1SCImago
- 2012year
Short summary
Bayesian estimation for two groups offers a complete picture of uncertainty for effect sizes, means, and standard deviations, handles outliers, and allows accepting the null when confident, unlike traditional t tests.
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Key points
- Provides full distributions of credible values for effect size, group means, standard deviations, and their differences.
- Handles outliers and allows for accepting the null hypothesis when estimation certainty is high.
- Yields precise estimates of statistical power for various research objectives.
- Offers free, cross-platform software for implementation.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Journal of Experimental Psychology General, 2012 · DOI ↗
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Field: Statistics and Probability
Statistics and ProbabilityMathematics