ArticleScientometrics2025
Are questionable research practices considered a successful career strategy? A novel implementation of the implicit association test.
Article in Scientometrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
4 authors.
Funding
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Abstract
Scientific misconduct and questionable research practices (QRPs) pose significant challenges to the integrity of academic research. This study therefore investigates scientists' implicit associations regarding misconduct and its relationship with perceived academic success. Employing the Single-Category Implicit Association Test (SC-IAT), the attitudes of 11,747 scientists across Austria, Germany, and Switzerland were examined. Results suggest that only a very low fraction of researchers associate serious misconduct with success, yet approximately one-fifth of participants associate QRPs with success. Gender and discipline-based distinctions were minimal, with notable inclinations among PhD students decreasing with status. However, limitations exist, including the lack of validation against explicit attitudes. The decline in the association between QRPs and success with status raises questions about cohort effects or shifting ethical norms. Early intervention and ongoing training efforts may mitigate these issues, emphasizing ethical considerations in scientific practice from undergraduate education onwards. Understanding these dynamics is crucial for fostering integrity in research and guiding future interventions. Supplementary information: The online version contains supplementary material available at 10.1007/s11192-025-05357-4.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.