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 can also be distinguished from replication, as referring to reproducing the same results using the same data set. Reproducibility of this type is why many researchers make their data available to others for testing. [15] The replication crisis does not necessarily mean these fields are unscientific.
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 .
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 ]
An attribute agreement analysis is designed to simultaneously evaluate the impact of repeatability and reproducibility on accuracy. It allows the analyst to examine the responses from multiple reviewers as they look at several scenarios multiple times.
A 2015 study of 100 psychology papers conducted by Open Science Collaboration has been confronted with the "lack of a single accepted definition" which "opened the door to controversy about their methodological approach and conclusions" and made it necessary to fall back on "subjective assessments" of result reproducibility.
Reliability does not imply validity.That is, a reliable measure that is measuring something consistently is not necessarily measuring what is supposed to be measured.
Guttman's original definition of the reproducibility coefficient, C R is simply 1 minus the ratio of the number of errors to the number of entries in the data set. And, to ensure that there is a range of responses (not the case if all respondents only endorsed one item) the coefficient of scalability is used.