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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.
Example of direct replication and conceptual replication. There are two main types of replication in statistics. First, there is a type called “exact replication” (also called "direct replication"), which involves repeating the study as closely as possible to the original to see whether the original results can be precisely reproduced. [3]
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.
The replication itself should be transparent to an external user. In a failure scenario, a failover of replicas should be hidden as much as possible with respect to quality of service. [4] Computer scientists further describe replication as being either: Active replication, which is performed by processing the same request at every replica
Leek summarized the key points of agreement as: when talking about the science-wise false discovery rate one has to bring data; there are different frameworks for estimating the science-wise false discovery rate; and "it is pretty unlikely that most published research is false", but that probably varies by one's definition of "most" and "false".
Failure comes in countless forms, but here Eskreis-Winkler and her colleagues defined it as any event that didn’t achieve a desired goal. They considered success a corrective action that ...
A further systematic replication involving 40 different labs around the world did not replicate the main finding. [9] However, this latter systematic replication showed that participants who did not think there was a relation between thinking about a hooligan or a professor were significantly more susceptible to the priming manipulation.
Every request received by a non-failing node in the system must result in a response. This is the definition of availability in CAP theorem as defined by Gilbert and Lynch. [1] Note that availability as defined in CAP theorem is different from high availability in software architecture. [5] Partition tolerance