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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 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.
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).
Replication crisis – Observed inability to reproduce scientific studies; Selection bias – Bias in a statistical analysis due to non-random selection; White hat bias – Type of bias in public health research; Woozle effect – False credibility due to quantity of citations
Let’s hope the Democratic Party takes a good long look at their lack of credibility on democracy as they process the results of this election and plot a path forward.
The high dropout rates have provoked neither an internal crisis nor a re-evaluation of programming. Stamper dismissed dropouts as “attrition by personal choice.” An addict’s failure is considered a result of not being ready for treatment, never an indication that there might be a problem with the treatment itself.
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.