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The Reproducibility Project is a series of crowdsourced collaborations aiming to reproduce published scientific studies, finding high rates of results which could not be replicated. It has resulted in two major initiatives focusing on the fields of psychology [ 1 ] and cancer biology. [ 2 ]
In 2011, Nosek and his collaborators set up the Reproducibility Project, with the aim of trying to replicate the results of 100 psychological experiments published in respected journals in 2008. [4] In 2015, their results were published in Science , and found that only 36 out of the 100 replications showed statistically significant results ...
Considerations about reproducibility can be placed into two categories. Reproducibility in the narrow sense refers to re-examining and validating the analysis of a given set of data. Replication refers to repeating an existing experiment or study using new, independent data with the goal of verifying the original conclusions.
The organization began with work in reproducibility of psychology research, with the large-scale initiative Reproducibility Project: Psychology. [3] [4] [5] A second reproducibility project for cancer biology research has also been started through a partnership with Science Exchange. [6] In March 2017, the Center published a detailed strategic ...
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 ...
If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks. Science Wikipedia:WikiProject Science Template:WikiProject Science science: High: This article has been rated as High-importance on the project's importance scale.
Scientific writing requires transparency in reporting research methods, data collection procedures, and analytical techniques to ensure the reproducibility and reliability of findings. Authors are responsible for accurately representing their data and disclosing any conflicts of interest or biases that may influence the interpretation of results.
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