How the Post-Data Severity Converts Testing Results into Evidence for or against Pertinent Inferential Claims

How the Post-Data Severity Converts Testing Results into Evidence for or against Pertinent Inferential Claims

The paper makes a case that the current discussions on replicability and the abuse of significance testing have overlooked a more general contributor to the untrustworthiness of published empirical evidence, which is the uninformed and recipe-like implementation of statistical modeling and inference...

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Bibliographic Details
Main Author: Aris Spanos
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Entropy
Subjects:
replication
untrustworthy evidence
statistical misspecification
statistical vs. substantive significance
pre-data vs. post-data error probabilities
p-hacking
Online Access:https://www.mdpi.com/1099-4300/26/1/95

Internet

https://www.mdpi.com/1099-4300/26/1/95

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