Open data exposes false loadings

Updated: 2026.03.09 1H ago 1 sources
Publishing code and raw item responses lets independent researchers recompute factor analyses and catch impossible or fabricated statistics — in this case identical .742 loadings across ten items. When authors omit basic descriptives and withhold actual loadings, obvious problems can be hidden behind jargon or compositing claims. — If journals and funders require code and basic descriptive reporting, many clear statistical impossibilities and possible frauds can be detected and corrected before they distort public debates.

Sources

Open science, ese! Check an infamous scientific fraud case yourself
José Duarte 2026.03.09 100% relevant
José Duarte posted R and SPSS code plus the dataset for Lewandowsky et al. (2012) and demonstrates that the paper’s table of identical factor loadings (.742) cannot be reproduced and likely is false.
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