Reliability refers to the degree to which an instrument yields consistent results.
In statistics and psychometrics, dependability refers to a measure's general consistency. A measure is said to be reliable if it generates consistent results under consistent conditions.
The purpose of reliability theory is to quantify measurement errors and to recommend strategies to improve tests to reduce errors. The core premise of reliability theory is that measurement errors are mostly random.
The reliability index is a statistic that provides a theoretical assessment of the connection between real psychometric test scores and assumed true scores. The index is given the value of the square root of r, where r is the reliability coefficient.
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