Work

Better statistics for better decisions: Rejecting null hypotheses statistical tests in favor of replication statistics

Year: 2007

Type: article

Abstract: Despite being under challenge for the past 50 years, null hypothesis significance testing (NHST) remains dominant in the scientific field for want of viable alternatives. NHST, along with its significance level p, is inadequate for most of the uses to which it is put, a flaw that is of particular interest to educational practitioners who too often must use it to sanctify their research. In this article, we review the failure of NHST and propose p(rep), the probability of replicating an effect, as a more useful statistic for evaluating research and aiding practical decision making.

Source: Psychology in the Schools

DOI: 10.1002/pits.20239

Authors: Federico Sanabria, Peter R. Killeen

Institution: Arizona State University

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: National Institute of Mental Health

Award: Dynamic Models of Reconditioning