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Reliability

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❶While any experimental design must attempt to eliminate confounding variables and natural variations, there will always be some disparities in these disciplines.

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Reliability is something that every scientist, especially in social sciences and biology, must be aware of. In science, the definition is the same, but needs a much narrower and unequivocal definition. Another way of looking at this is as maximizing the inherent repeatability or consistency in an experiment.

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If findings from research are replicated consistently they are reliable. A correlation coefficient can be used to assess the degree of reliability. If a test is reliable it should show a high positive territorios-luchas.tk: Saul Mcleod.

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Reliability and Validity. In order for research data to be of value and of use, they must be both reliable and valid.. Reliability. Reliability has to do with the quality of measurement. In its everyday sense, reliability is the "consistency" or "repeatability" of your measures. Before we can define reliability precisely we have to lay the groundwork.

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Definition of reliability. 1: the quality or state of being reliable. 2: the extent to which an experiment, test, or measuring procedure yields the same results on repeated trials. Reliability, like validity, is a way of assessing the quality of the measurement procedure used to collect data in a dissertation. In order for the results from a study to be considered valid, the measurement procedure must first be reliable.