![]() ![]() Often, test re-test reliability analyses are conducted over two time-points (T1, T2) over a relatively short period of time, to mitigate against conclusions being due to age-related changes in performance, as opposed to poor test stability. Having good test re-test reliability signifies the internal validity of a test and ensures that the measurements obtained in one sitting are both representative and stable over time. Why is it important to choose measures with good reliability? Tools which do provide such consistency are regarded as having high test re-test reliability, and therefore appropriate for use in longitudinal research. In an experiment with multiple time points, you would hope that the measurement tool chosen could consistently reproduce the same result over all the visits providing all other variables remain the same. appropriately measure the construct or domain in question), and that they could also reliably replicate the result more than once in the same situation and population. ![]() ![]() When you come to choose the measurement tools for your experiment, it is important to check that they are valid (i.e.
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