Low precision, variation in the participant and environment, state of the experimenter are the factors that undermine reliability.
The stability or consistency of test scores is measured by reliability. You can also think of it as the ability to repeat a test or research findings. A medical thermometer, for example, is a dependable tool that consistently measures the correct temperature. A reliable math test, on the other hand, will accurately measure mathematical knowledge for every student who takes it, and reliable research findings can be replicated time and again.
The most common method for measuring parallel form reliability is to create a large set of questions evaluating the same thing, then randomly divide these into two question sets. The same group of respondent's answers both sets, and the correlation between the results is calculated.
Learn more about reliability in research here:
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