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Reliability & Validity

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❶Reliability is easier to determine, because validity has more analysis just to know how valid a thing is. But if administered too far apart, other variables can enter the picture:

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Both groups also went on a high-fiber, low calorie diet. These were the results of the 12 week study, which was published in The Journal of The American Medical Association (a highly respected scientific journal): Heymsfield, et al. 1998 As you can see, both groups lost weight. But the group taking Garcinia Cambogia extract actually lost less weight (3.

What is Reliability?

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Reliability is a necessary ingredient for determining the overall validity of a scientific experiment and enhancing the strength of the results. Debate between social and pure scientists, concerning reliability, is robust and ongoing.

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Relationship between reliability and validity. If data are valid, they must be reliable. If people receive very different scores on a test every time they take it, the test is not likely to predict anything. However, if a test is reliable, that does not mean that it is valid.

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The use of reliability and validity are common in quantitative research and now it is reconsidered in the qualitative research paradigm. Since reliability and validity are rooted in positivist perspective then they should be redefined for their use in a naturalistic approach. Like reliability and validity as used in quantitative research are providing . Issues of research reliability and validity need to be addressed in methodology chapter in a concise manner. Reliability refers to the extent to which.

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When we look at reliability and validity in this way, we see that, rather than being distinct, they actually form a continuum. On one end is the situation where the concepts and methods of measurement are the same (reliability) and on the other is the situation where concepts and methods of measurement are different (very discriminant validity). Test-retest reliability is a measure of reliability obtained by administering the same test twice over a period of time to a group of individuals. The scores from Time 1 and Time 2 can then be correlated in order to evaluate the test for stability over time.