Rethinking Hypothesis Tests

08/17/2023
by   Rafael Izbicki, et al.
0

Null Hypothesis Significance Testing (NHST) have been a popular statistical tool across various scientific disciplines since the 1920s. However, the exclusive reliance on a p-value threshold of 0.05 has recently come under criticism; in particular, it is argued to have contributed significantly to the reproducibility crisis. We revisit some of the main issues associated with NHST and propose an alternative approach that is easy to implement and can address these concerns. Our proposed approach builds on equivalence tests and three-way decision procedures, which offer several advantages over the traditional NHST. We demonstrate the efficacy of our approach on real-world examples and show that it has many desirable properties.

READ FULL TEXT
research
12/30/2019

B-Value and Empirical Equivalence Bound: A New Procedure of Hypothesis Testing

In this study, we propose a two-stage procedure for hypothesis testing, ...
research
06/09/2022

When Evidence and Significance Collide

Null hypothesis statistical significance testing (NHST) is the dominant ...
research
05/08/2018

Seeking evidence of absence: Reconsidering tests of model assumptions

Statistical tests can only reject the null hypothesis, never prove it. H...
research
01/31/2020

p-Value as the Strength of Evidence Measured by Confidence Distribution

The notion of p-value is a fundamental concept in statistical inference ...
research
08/30/2021

Accuracy, precision, and agreement statistical tests for Bland-Altman method

Bland and Altman plot method is a graphical plot approach that compares ...
research
05/31/2019

Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point Patterns

This paper introduces an approach for detecting differences in the first...
research
01/05/2018

On the Logic (plus some history and philosophy) of Statistical Tests and Scientific Investigation

Every scientific endeavour consists of (at least) two components: A hypo...

Please sign up or login with your details

Forgot password? Click here to reset