![]() You are consistently measuring the wrong value – reliable but not valid. In the first one, you are hitting the target consistently, but you are missing the center.The above situation shows four possible outcomes: Also, if a test is valid, it is almost always reliable. The reliability (consistency) of this scale is very good, but it is not accurate (valid) because you actually weigh 145 pounds. Let’s imagine a bathroom scale that consistently tells you that you weigh 130 pounds. Even if a test is reliable, it may not provide a valid measure. Validity refers to the accuracy of an assessment - whether or not it measures what it is supposed to measure. Likewise, instruments such as classroom tests and national standardized exams should be reliable – it should not make any difference whether a student takes the assessment in the morning or afternoon one day or the next. If you weigh five pounds of potatoes in the morning, and the scale is reliable, the same scale should register five pounds for the potatoes an hour later. ![]() Another way to think of reliability is to imagine a kitchen scale. Reliability refers to the extent to which assessments are consistent. Reliability and validity are two concepts that are important for defining and measuring bias and distortion. In order for assessments to be sound, they must be free of bias and distortion. ![]() NRSG 790 - Methods for Research and Evidence-Based Practice Module 3: Research Methods Reliability and Validity of Measures
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