Evidential Value in ANOVA Results in Favor of Fabrication
Chris A.J. Klaassen
TL;DR
This paper investigates whether statistical patterns in ANOVA results can indicate data fabrication, focusing on evidential signs of dependence structures that suggest manipulation in scientific publications.
Contribution
It introduces a method to detect potential data fabrication by analyzing the dependence structure in ANOVA results, extending prior work on evidential value in scientific data.
Findings
ANOVA results can contain signs of data fabrication.
Dependence structures in data may indicate manipulation.
The method helps identify suspicious data patterns.
Abstract
Some scientific publications are under suspicion of fabrication of data. Since humans are bad random number generators, there might be some evidential value in favor of fabrication in the statistical results as presented in such papers. In line with Uri Simonsohn (2012, 2013) we study the evidential value of the results of an ANOVA study in favor of the hypothesis of a dependence structure in the underlying data.
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Taxonomy
TopicsManufacturing Process and Optimization · Industrial Vision Systems and Defect Detection · Optimal Experimental Design Methods