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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.
In engineering, science, and statistics, replication is the process of repeating a study or experiment under the same or similar conditions to support the original claim, which is crucial to confirm the accuracy of results as well as for identifying and correcting the flaws in the original experiment. [1]
[3] [4] The results of the Reproducibility Project might also affect public trust in psychology. [ 9 ] [ 10 ] Lay people who learned about the low replication rate found in the Reproducibility Project subsequently reported a lower trust in psychology, compared to people who were told that a high number of the studies had replicated.
Replication has been called "the cornerstone of science". [9] [10] Environmental health scientist Stefan Schmidt began a 2009 review with this description of replication: Replication is one of the central issues in any empirical science. To confirm results or hypotheses by a repetition procedure is at the basis of any scientific conception.
In the report of the National Academies of Science, that opted for an experimental terminology, the counterpart of method reproducibility was described as "obtaining consistent results using the same input data; computational steps, methods, and code; and conditions of analysis".
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According to ISO 5725-1, accuracy consists of trueness (proximity of the mean of measurement results to the true value) and precision (repeatability or reproducibility of the measurement). While precision is a description of random errors (a measure of statistical variability ), accuracy has two different definitions:
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