Significance of Reliability coefficient
Reliability coefficient is a statistical measure indicating the consistency and dependability of evaluation tools and assessment instruments, such as questionnaires. It ensures that the results obtained are valid and reliable. Common statistical measures to assess reliability include Cronbach's alpha, intra-class correlation, and split-half coefficient. A reliability coefficient value above 0.7 is considered acceptable, demonstrating the consistency of a measurement tool across repeated assessments. This is crucial for ensuring reliable outcomes in research studies.
Synonyms: Consistency measure
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The concept of Reliability coefficient in scientific sources
The Reliability coefficient is a statistic reflecting the consistency of a measurement tool, with a value above 0.7 considered acceptable. It ensures the dependability and validity of study questionnaires and evaluation tools.
From: The Malaysian Journal of Medical Sciences
(1) A statistical measure used to assess the consistency of the results.[1] (2) The reliability coefficient is calculated using the Standard Error (SE) and is used to assess the reliability of an instrument, which can be expressed in terms of stability, equivalence, and consistency.[2] (3) These are statistical measures that are used to assess the consistency and stability of a measurement instrument, such as alpha and omega.[3] (4) A statistical measure used to assess the consistency and reliability of a test's outcomes over repeated measures.[4]