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The replication crisis [a] is an ongoing methodological crisis in which the results of many scientific studies are difficult or impossible to reproduce. Because the reproducibility of empirical results is an essential part of the scientific method , [ 2 ] such failures undermine the credibility of theories building on them and potentially call ...
The project has brought attention to the replication crisis, and has contributed to shifts in scientific culture and publishing practices to address it. [3] The project was led by the Center for Open Science and its co-founder, Brian Nosek, who started the project in November 2011. [4]
It can allow people a coping mechanism, one that can cushion individuals' fears; and thus, impacting one's attitudes towards a given behavior. [25] Individuals who have higher levels of self-esteem regarding their behavior(s) are less likely to have their attitudes, and thus their behaviors changed regardless of mortality salience or death ...
Upheaval: How Nations Cope with Crisis and Change is a 2019 nonfiction book by American scientist and historian Jared Diamond. [1] Diamond attempts to analyze devastating crises (political, economic, civil, ecological, etc.) that may destroy whole countries and the multiple reasons causing them.
In the article published in The Conversation titled, "We need to talk about the bad science being funded", Gandevia highlights the replication crisis in modern science. Citing a statistic from the magazine Nature which finds some, 90% of 1576 researchers surveyed believe in a replication crisis. Gandevia stresses that ‘a high rate of ...
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This article was reviewed by Craig Primack, MD, FACP, FAAP, FOMA. You gain a lot of things when you get into a new relationship: love, companionship, a new toothbrush in the bathroom. You might ...
Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method.For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.