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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]
The replication crisis (or credibility crisis) is a methodological crisis in science that researchers began to acknowledge around the 2010s. The controversy revolves around the lack of reproducibility of many scientific findings, including those in psychology (e.g., among 100 studies, less than 50% of the findings were replicated).
After 2010, recurrent issues of research methodology have been increasingly acknowledged as structural crisis, that involve deep changes at all stages of the research process. Transparency has become a key value of the open science movement, which evolved from an initial focus on publishing to encompass a large diversity of research outputs.
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.
He briefly addressed the matter at the start of the show on Dec. 1,” the network’s statement read. “For nearly a decade, Randy has been an invaluable member of the team, consistently ...
The growth of metascience and the recognition of a scientific replication crisis have bolstered the paper's credibility, and led to calls for methodological reforms in scientific research. [8] [9] In commentaries and technical responses, statisticians Goodman and Greenland identified several weaknesses in Ioannidis' model.
Marcel Reed threw two touchdown passes and ran for a third score in less than three quarters to help No. 15 Texas A&M cruise to a 38-3 win over New Mexico State on Saturday night. It was a bounce ...