An Alternative to Null-Hypothesis Significance Tests
Author: Killeen, Peter R.
Source: Psychological Science, Volume 16, Number 5, May 2005 , pp. 345-353(9)
The statistic prep estimates the probability of replicating an effect. It captures traditional publication criteria for signal-to-noise ratio, while avoiding parametric inference and the resulting Bayesian dilemma. In concert with effect size and replication intervals, prep provides all of the information now used in evaluating research, while avoiding many of the pitfalls of traditional statistical inference.
Document Type: Research Article
Affiliations: Arizona State University
Publication date: May 2005