✪✪✪ Reliability And Validity Essay

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Reliability And Validity Essay

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Reliability and Validity

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The experiment is ultimately testing a relationship between cause and effect: how changing X affects Y. To address this, you must only change X, and see what happens to Y. If you allow other changes at the same time, then you cannot make a valid conclusion about how X affected Y, since Y may have been affected by the other changes as well. The correct way to describe this is in terms of the independent, dependent, and control variables. The independent variable in an experiment is the one you set X.

The dependent variable is the one you measure Y, because it depends on X. All other variables are called control variables, and they must be kept constant to prevent them from affecting the dependent variable. This forms part of the experimental method. The method including the analysis may contain some assumptions that need to be satisfied, e. The experimental method must ensure that all the assumptions are satisfied, otherwise, you will end up using a method or analysis that is inappropriate, and the result will be invalid.

You may be able to identify invalid measurements and discard them from the analysis. If your experiment is invalid, then the result is meaningless because either the equipment, method or analysis were not appropriate for addressing the aim. Reliability is about how close repeated measurements are to each other. You can consider the reliability of a measurement, or of the entire experiment. A measurement is reliable if you repeat it and get the same or a similar answer over and over again, and an experiment is reliable if it gives the same result when you repeat the entire experiment. You can test reliability through repetition. The more similar repeated measurements are, the more reliable the results.

Improving reliability is a different matter to testing it. The reliability of single measurements is not improved through repetition , but through the design of the experiment. Implementing a method that reduces random errors will improve reliability. However, the entire result of the experiment can be improved through repetition and analysis, as this may reduce the effect of random errors. However, if an experiment is invalid because the control variables are not constant, then they may be affecting measurements in an unpredictable way, making the result unreliable.

Accuracy is much easier to define: the accuracy of an experiment is how close the final result is to the correct or accepted value. The closer it is, the more accurate the experiment. The accuracy can be improved through the experimental method if each single measurement is made more accurate, e.

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