Affordable Access

deepdyve-link
Publisher Website

Statistical hypothesis testing and common misinterpretations: Should we abandon p-value in forensic science applications?

Authors
  • Taroni, F1
  • Biedermann, A1
  • Bozza, S2
  • 1 University of Lausanne, School of Criminal Justice, Lausanne, Switzerland. , (Switzerland)
  • 2 Ca' Foscari University of Venice, Department of Economics, Venice, Italy. Electronic address: [email protected] , (Italy)
Type
Published Article
Journal
Forensic science international
Publication Date
February 2016
Volume
259
Identifiers
DOI: 10.1016/j.forsciint.2015.11.013
PMID: 26743713
Source
Medline
Keywords
License
Unknown

Abstract

Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Various schools of thought, in particular frequentist and Bayesian, have promoted radically different solutions for taking a decision about the plausibility of competing hypotheses. Comprehensive philosophical comparisons about their advantages and drawbacks are widely available and continue to span over large debates in the literature. More recently, controversial discussion was initiated by an editorial decision of a scientific journal [1] to refuse any paper submitted for publication containing null hypothesis testing procedures. Since the large majority of papers published in forensic journals propose the evaluation of statistical evidence based on the so called p-values, it is of interest to expose the discussion of this journal's decision within the forensic science community. This paper aims to provide forensic science researchers with a primer on the main concepts and their implications for making informed methodological choices.

Report this publication

Statistics

Seen <100 times