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.
