Test-retest reliability is a useful metric to calculate, but be aware of the following potential biases that could affect this metric: 1. Practice Effect. A practice effect occurs when participants simply gets better at some test due to practice. This means they’re likely to show better results during later tests because they’ve had time ...
The way to prevent this type of bias is to ensure that participants take both tests under identical conditions, i.e. during the same time of day, with the same general lighting and environment, and given the same amount of time to complete the test.
A fatigue effect occurs when participants gets worse at some test because they get mentally drained or fatigued from taking previous tests. The way to prevent this type of bias is to provide plenty of time in between tests (ideally weeks or even months) so that participants are fresh when taking both tests. 3.
different lighting, different time of day, different time allowed to complete the test, etc.) it’s possible that they score differently on the tests simply due to differences in the testing environment.
in individuals of some population. When administering any type of test, it’s important that the test has reliability.
Since this correlation is greater than 0.80, researchers could conclude that the test has good test-retest reliability.