Uncovering Questionable Research Practices: Cherry Picking and Its Consequences
Explore the unethical practice of cherry picking in research, where selective reporting of data leads to skewed interpretations and hinders scientific progress. Understand the impact on meta-analyses, redundant investigations, and the importance of transparency in reporting non-significant results. Comparisons with psychology shed light on the implications of this practice across disciplines.
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Presentation Transcript
Questionable Research Practices Part 1: Cherry picking 1
Cherry picking Failing to report variables, conditions, or treatments that had relatively high p-values. 2 Cherry picking by barnimages.com, CC BY 2.0
Cherry picking n = 573 Ecologists, 299 Evolutionary biologists 1. Not reporting studies or variables that failed to reach statistical significance (e.g. p 0.05) or some other desired statistical threshold. 2. Not reporting covariates that failed to reach statistical significance (e.g. p 0.05) or some other desired statistical threshold. 4. Reporting a set of statistical models as the complete tested set when other candidate models were also tested. 3
Cherry picking Reported having done at least once 4
Cherry picking Reported having done at least once 5
Cherry picking - consequences Impedes interpretation Non-significant results are important Readers lack the information Skews meta-analyses Leads to redundant investigation Unethical 7
