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The meaning of RELIABILITY is the quality or state of being reliable.
RELIABILITY definition: 1. the quality of being able to be trusted or believed because of working or behaving well: 2. the…. Learn more.
Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, or will operate in a defined environment without failure.
Reliability tells you how consistently a method measures something. When you apply the same method to the same sample under the same conditions, you should get the same results. If not, the method of measurement may be unreliable or bias may have crept into your research.
Reliability in psychology research refers to the reproducibility or consistency of measurements. Specifically, it is the degree to which a measurement instrument or procedure yields the same results on repeated trials.
Reliability is about the consistency of a measure, and validity is about the accuracy of a measure. It’s important to consider reliability and validity when you are creating your research design, planning your methods, and writing up your results, especially in quantitative research.
Reliability tells us if a psychology assessment gives us consistent results. When something has high reliability, it helps us trust the results. Psychological tools have reliability when they deliver consistent findings when they are carried out using the same procedures and conditions.
What does the noun reliability mean? There are three meanings listed in OED's entry for the noun reliability . See ‘Meaning & use’ for definitions, usage, and quotation evidence.
The quality of being reliable, dependable, or trustworthy. The quality of a measurement indicating the degree to which the measure is consistent, that is, repeated measurements would give the same result (See validity). Because of its reliability, agriculture will become more like an exact science.
Reliability is a cornerstone of research and measurement, ensuring consistent and dependable results across studies. By understanding its types—such as test-retest, inter-rater, and internal consistency—researchers can select appropriate methods and tools to assess reliability.