OFFRE LISEUSES
Une liseuse achetée = une housse offerte* jusqu'au 21 juin
The Credibility Crisis in Science. Tweakers, Fraudsters, and the Manipulation of Empirical Results
Par : ,Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub protégé est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
- Non compatible avec un achat hors France métropolitaine
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- Nombre de pages308
- FormatePub
- ISBN978-0-262-05128-6
- EAN9780262051286
- Date de parution17/03/2026
- Protection num.Adobe DRM
- Taille1 Mo
- Infos supplémentairesepub
- ÉditeurThe MIT Press
Résumé
A novel perspective on scientific fraud-how undisclosed "tweaks" to research designs and model specifications fuel the credibility crisis in science. In The Credibility Crisis in Science, leading social scientists Thomas Plümper and Eric Neumayer argue that the most impactful fraud is crucially under-recognized. While data fabrication and manipulation are widely recognized as fraudulent, "tweaks"-the intentional selection of research designs and model specifications based on the results they give-are not.
As a consequence, the credibility crisis in science is even more severe than both scientists and the public believe. The authors show how easily observational data analyses, experimental designs, and causal models are tweaked in ways that are extremely difficult, often impossible, to detect. They also argue that conventional strategies to deter, prevent, and detect fraud will not work for tweaks. They put forth two potential solutions: first, a classification system that categorizes data based on its susceptibility to manipulation and the probability of such manipulation being identified; and second, the proposal that journal editors and reviewers, rather than authors, select robustness tests.
As a consequence, the credibility crisis in science is even more severe than both scientists and the public believe. The authors show how easily observational data analyses, experimental designs, and causal models are tweaked in ways that are extremely difficult, often impossible, to detect. They also argue that conventional strategies to deter, prevent, and detect fraud will not work for tweaks. They put forth two potential solutions: first, a classification system that categorizes data based on its susceptibility to manipulation and the probability of such manipulation being identified; and second, the proposal that journal editors and reviewers, rather than authors, select robustness tests.