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The source reliability is rated between A (history of complete reliability) to E (history of invalid information), with F for source without sufficient history to establish reliability level. The information content is rated between 1 (confirmed) to 5 (improbable), with 6 for information whose reliability can not be evaluated.
Credibility dates back to Aristotle's theory of Rhetoric.Aristotle defines rhetoric as the ability to see what is possibly persuasive in every situation. He divided the means of persuasion into three categories, namely Ethos (the source's credibility), Pathos (the emotional or motivational appeals), and Logos (the logic used to support a claim), which he believed have the capacity to influence ...
credibility, reliability, or reputation; ... against the set of well-defined valid values of Reference Data to discover new or discrepant values through the validity ...
Source reliability falls on a spectrum: No source is 'always reliable' or 'always unreliable' for everything. However, some sources provide stronger or weaker support for a given statement. Editors must use their judgment to draw the line between usable and inappropriate sources for each statement.
A reliable source is one that presents a well-reasoned theory or argument supported by strong evidence. Reliable sources include scholarly, peer-reviewed articles or books written by researchers for students and researchers, which can be found in academic databases and search engines like JSTOR and Google Scholar.
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 ...
The implicit policy seems to be that the infobox reliably reports the government's point-of-view on the election results, even if these are false data, while the validity or invalidity of the open data is described in prose in the lead, based on reliable sources independent of the government.
In qualitative research, a member check, also known as informant feedback or respondent validation, is a technique used by researchers to help improve the accuracy, credibility, validity, and transferability (also known as applicability, internal validity, [1] or fittingness) of a study. [2]