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The CRAAP test is a test to check the objective reliability of information sources across academic disciplines. CRAAP is an acronym for Currency, Relevance, Authority, Accuracy, and Purpose. [ 1 ] Due to a vast number of sources existing online, it can be difficult to tell whether these sources are trustworthy to use as tools for research.
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.
WP:Reliable sources/Noticeboard - ask about specific sources. However, editors new to a particular topic might not realize some specific major publications are preferred as sources. Guideline WP:MEDRS suggests sources for medical text, but other subjects need recommendations for reliable sources, as well.
The term is most commonly associated with text materials, either in traditional printed format or online; however, audio, video, and multimedia materials that have been recorded then broadcast, distributed, or archived by a reputable party may also meet the necessary criteria to be considered reliable sources.
Reliable equipment can mean the difference between a good year and spoiled crops. But consumers on other markets are more attuned than ever to product reliability too. Computers and copying machines certainly compare on this basis. Reliability may be closely related to performance.
For example, while there are many reliable tests of specific abilities, not all of them would be valid for predicting, say, job performance. While reliability does not imply validity, reliability does place a limit on the overall validity of a test. A test that is not perfectly reliable cannot be perfectly valid, either as a means of measuring ...
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This is not the same as reliability, which is the extent to which a measurement gives results that are very consistent. Within validity, the measurement does not always have to be similar, as it does in reliability. However, just because a measure is reliable, it is not necessarily valid. E.g. a scale that is 5 pounds off is reliable but not valid.