Search results
Results From The WOW.Com Content Network
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 ...
Reproducibility is the measure of readily different operators of a process that can yield the same results. Both play massive roles in production, as they are indicators of quality and minimal defects in a process. Understanding how these measures work is vital of process improvement and management.
While this notion of reproducibility is quite different from situations in which a researcher gathers new data in the hopes of independently verifying previous results or a scientific inference, some scientific fields use the term reproducibility to refer to this practice.
Replicability or repeatability refers to reconducting the entire study to ensure the outcomes’ reliability. Reproducibility refers to reconducting the analysis to ensure a fair analysis.
Reproducibility is obtaining consistent results using the same input data; computational steps, methods, and code; and conditions of analysis. This definition is synonymous with “computational reproducibility,” and the terms are used interchangeably in this report.
This definition of reproducibility refers to the transparency and reproducibility of computations: that is, it is synonymous with “computational reproducibility,” and we use the terms interchangeably in this report.
Reproducibility is a minimum necessary condition for a finding to be believable and informative. ” Documenting this kind of reproducibility thus requires, at minimum, the sharing of an-alytical data sets (original raw or processed data), relevant metadata, analytical code, and related software.
Reproducibility refers to the ability to obtain consistent results using the same data and methods, while replicability involves achieving similar results using different data or methods. Both concepts are vital for validating research, but they address different aspects of the scientific process.
According to a U.S. National Science Foundation (NSF) subcommittee on replicability in science (9), “ reproducibility refers to the ability of a researcher to duplicate the results of a prior study using the same materials as were used by the original investigator.
Replicability means obtaining consistent results across studies aimed at answering the same scientific question using new data or other new computational methods. One typically expects reproducibility in computational results, but expectations about replicability are more nuanced.