![]() Hence you are getting inaccurate or inconsistent results that are not valid.Įxample: Suppose a questionnaire is distributed among a group of people to check the quality of a skincare product and repeated the same questionnaire with many groups. Your weighing machine might be malfunctioning. It means your method had low reliability. In contrast, if a method is not reliable, it’s not valid.Įxample: Your weighing scale shows different results each time you weigh yourself within a day even after handling it carefully, and weighing before and after meals. If a method is reliable, then it’s valid. If the method of measuring is accurate, then it’ll produce accurate results. ![]() If the results are accurate according to the researcher’s situation, explanation, and prediction, then the research is valid. Validity shows how a specific test is suitable for a particular situation. Validity refers to the accuracy of the measurement. ![]()
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