PhilSci Archive

Degree of Corroboration: An Antidote to the Replication Crisis

Sprenger, Jan (2019) Degree of Corroboration: An Antidote to the Replication Crisis. In: UNSPECIFIED.

[img]
Preview
Text
Corroboration_PSA2018_v1.pdf

Download (217kB) | Preview

Abstract

The replication crisis poses an enormous challenge to the epistemic authority of science and the logic of statistical inference in particular. Two prominent features of Null Hypothesis Significance Testing (NHST) arguably contribute to the crisis: the lack of guidance for interpreting non-significant results and the impossibility of quantifying support for the null hypothesis. In this paper, I argue that also popular alternatives to NHST, such as confidence intervals and Bayesian inference, do not lead to a satisfactory logic of evaluating hypothesis tests. As an alternative, I motivate and explicate the concept of corroboration of the null hypothesis. Finally I show how degrees of corroboration give an interpretation to non-significant results, combat publication bias and mitigate the replication crisis.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Sprenger, Janjan.sprenger@unito.it0000-0003-0083-9685
Keywords: statistical inference replication crisis null hypothesis significance testing corroboration Bayesian inference confidence intervals Karl R. Popper
Subjects: General Issues > Confirmation/Induction
General Issues > Evidence
General Issues > Experimentation
Specific Sciences > Probability/Statistics
Depositing User: Jan Sprenger
Date Deposited: 25 May 2019 13:46
Last Modified: 25 May 2019 13:46
Item ID: 16047
Subjects: General Issues > Confirmation/Induction
General Issues > Evidence
General Issues > Experimentation
Specific Sciences > Probability/Statistics
Date: 2019
URI: https://philsci-archive.pitt.edu/id/eprint/16047

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item