Validity and Reliability
Every project must ensure the data and conclusions are both valid and reliable. Validity refers to the accuracy of the measurement in a test; reliability refers to the stability or consistency of scores. In other words, a test must measure what it says it does (validity), and it must be consistent in its reports (reliability).
share an example of a test or experiment and discuss the validity and reliability of that test. Your example can come from your daily life, from reading the textbook or looking for online examples, or even from a hypothetical situation.
Answer preview
An experiment is viable only if it is both reliable and valid. Reliability refers to the consistency in the results obtained in the research findings. The test must yield roughly the very same results when it is administered on a particular setting or individual. An experiment is valid if it measures what it’s supposed to. An experiment may be reliable but invalid. For example, when one uses a faulty chronometer to measure the duration, the measurements obtained may be reliable and show a consistent pattern, but the findings are invalid due to the use of a faulty instrument. Below is an experiment that satisfies both the reliability and validity aspects.
An experiment is carried out to test the effect of the Supreza weight loss drug on women. The research aimed to find out how many kilograms…
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