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E.g. a scale that is 5 pounds off is reliable but not valid. A test cannot be valid unless it is reliable. Validity is also dependent on the measurement measuring what it was designed to measure, and not something else instead. [6] Validity (similar to reliability) is a relative concept; validity is not an all-or-nothing idea.
Reliability does not imply validity. That is, a reliable measure that is measuring something consistently is not necessarily measuring what you want to be measured. For example, while there are many reliable tests of specific abilities, not all of them would be valid for predicting, say, job performance.
Consequently, some judgment and comparison of sources is needed in order to identify reliable sources. Reliable sources respect truth; a source that is commonly untruthful is not reliable. A source may be partly or more or less reliable. Concurrence of possibly reliable sources may help in identifying reliable sources, and editors should seek it.
All four can affect reliability. Base articles on reliable, independent, published sources with a reputation for fact-checking and accuracy. Source material must be published, on Wikipedia meaning made available to the public in some form. [f] Unpublished material is not considered reliable. Use sources that directly support the material ...
Model validation is defined to mean "substantiation that a computerized model within its domain of applicability possesses a satisfactory range of accuracy consistent with the intended application of the model". [3] A model should be built for a specific purpose or set of objectives and its validity determined for that purpose. [3]
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]
Fairly reliable Doubts. Provided valid information in the past. D: Not usually reliable Significant doubts. Provided valid information in the past. E: Unreliable Lacks authenticity, trustworthiness, and competency. History of invalid information. F: Reliability unknown Insufficient information to evaluate reliability. May or may not be reliable.
Test validity is the extent to which a test (such as a chemical, physical, or scholastic test) accurately measures what it is supposed to measure.In the fields of psychological testing and educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests". [1]