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Reproducibility. 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 ...
Repeatability. Repeatability or test–retest reliability[1] is the closeness of the agreement between the results of successive measurements of the same measure, when carried out under the same conditions of measurement. [2] In other words, the measurements are taken by a single person or instrument on the same item, under the same conditions ...
ANOVA gauge R&R. ANOVA gage repeatability and reproducibility is a measurement systems analysis technique that uses an analysis of variance (ANOVA) random effects model to assess a measurement system. The evaluation of a measurement system is not limited to gage but to all types of measuring instruments, test methods, and other measurement systems.
The precision of a measurement system, related to reproducibility and repeatability, is the degree to which repeated measurements under unchanged conditions show the same results. [3][4] Although the two words precision and accuracy can be synonymous in colloquial use, they are deliberately contrasted in the context of the scientific method.
Replication (statistics) 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 crucial to confirm the accuracy of results as well as for identifying and correcting the flaws in the original experiment. [1]
The goals of a MSA are: Quantification of measurement uncertainty, including the accuracy, precision including repeatability and reproducibility, the stability and linearity of these quantities over time and across the intended range of use of the measurement process. Development of improvement plans, when needed.
Coefficient of variation Congeneric reliability Consistency (statistics) Homogeneity (statistics) Test-retest reliability Internal consistency Levels of measurement Accuracy and precision Reliability theory Reliability engineering Reproducibility Validity (statistics)
The CV or RSD is widely used in analytical chemistry to express the precision and repeatability of an assay. It is also commonly used in fields such as engineering or physics when doing quality assurance studies and ANOVA gauge R&R, [citation needed] by economists and investors in economic models, and in psychology / neuroscience.