![]() ![]() This means that the measurement tool which you are using generates the same result when a specific test is repeated.įor example, the investigation was performed for measuring the level of job satisfaction among employees. Test-Retest Reliability: It includes the measurement of consistency over a period of time. ![]() There are mainly four types of reliability, as follows: You can also think about it as an ability to have similar results from a study each time you do it. Reliability is a measure of how stable, consistent or repeatable the test scores are. Reliability mainly is the level measures that are consistent. Introduction of Reliability and Validity Definition of Reliability They can both be measured using a variety of statistical methods, but it is important to understand their definitions and differences before choosing which one to use in your studies. This post will explore the difference between reliability and validity in research. The validity and reliability of research are important as it determines the usefulness, relevance, and accuracy of a study. The reliability of the process used for measuring outcomes is very much important in order to make the investigation to be valid. There is a direct relationship between reliability and validity. They are basically two crucial parts of the research. Reliability and validity represent the effectiveness of the different research methods applied in the investigation. ![]()
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