Updating robust reliability
At the other extreme, any experiment that uses human judgment is always going to come under question.For example, if observers rate certain aspects, like in Bandura’s Bobo Doll Experiment, then the reliability of the test is compromised.The idea behind reliability is that any significant results must be more than a one-off finding and be inherently repeatable.Other researchers must be able to perform exactly the same experiment, under the same conditions and generate the same results.This prerequisite is essential to a hypothesis establishing itself as an accepted scientific truth.For example, if you are performing a time critical experiment, you will be using some type of stopwatch.
Annual failure rates for drives have fallen sharply in comparison with previous years as smaller-capacity HDDs have been replaced by higher-capacity counterparts. The Annualized Failure Rate (AFR) has fallen every year since 2016, from 1.95 percent to 1.25 percent. Importantly, while this trend doesn’t hold true for every drive family, there are multiple HDDs that show lower AFRs in 2018 than in 2016.Reliability is a necessary ingredient for determining the overall validity of a scientific experiment and enhancing the strength of the results.Debate between social and pure scientists, concerning reliability, is robust and ongoing.Eliminating other potential causal relationships, by using controls and duplicate samples, is the best way to ensure that your results stand up to rigorous questioning.The text in this article is licensed under the Creative Commons-License Attribution 4.0 International (CC BY 4.0).
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Generally, it is reasonable to assume that the instruments are reliable and will keep true and accurate time.