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• W2969231457 startingPage "356" @default.
• W2969231457 abstract "Abstract How often do articles depend on suppression effects for their findings? How often do they disclose this fact? By suppression effects, we mean control-variable-induced increases in estimated effect sizes. Researchers generally scrutinize suppression effects as they want reassurance that authors have a strong explanation for them, especially when the statistical significance of the key finding depends on them. In a reanalysis of observational studies from a leading journal, we find that over 30% of articles depend on suppression effects for statistical significance. Although increases in key effect estimates from including control variables are of course potentially justifiable, none of the articles justify or disclose them. These findings may point to a hole in the review process: journals are accepting articles that depend on suppression effects without readers, reviewers, or editors being made aware." @default.
• W2969231457 created "2019-08-29" @default.
• W2969231457 creator A5039790075 @default.
• W2969231457 creator A5065503150 @default.
• W2969231457 date "2020-11-16" @default.
• W2969231457 modified "2023-10-18" @default.
• W2969231457 title "Achieving Statistical Significance with Control Variables and Without Transparency" @default.
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• W2969231457 doi "https://doi.org/10.1017/pan.2020.31" @default.
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