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MTBF is a basic measure of an asset's reliability. It is calculated by dividing the total operating time of the asset by the number of failures over a given period of time. Taking the example of the AHU above, the calculation to determine MTBF is: 3,600 hours divided by 12 failures. The result is 300 operating hours.
In order to measure the test-retest reliability, we have to give the same test to the same test respondents on two separate occasions. We can refer to the first time the test is given as T1 and the second time that the test is given as T2. The scores on the two occasions are then correlated.
MTBF is a basic measure of an asset's reliability. It is calculated by dividing the total operating time of the asset by the number of failures over a given period of time. Taking the example of the AHU above, the calculation to determine MTBF is: 3,600 hours divided by 12 failures. The result is 300 operating hours.
Test-retest reliability is a measure of reliability obtained by administering the same test twice over a period of time to a group of individuals. The scores from Time 1 and Time 2 can then be correlated in order to evaluate the test for stability over time.
Between 0.9 and 0.8: good reliability. Between 0.8 and 0.7: acceptable reliability. Between 0.7 and 0.6: questionable reliability. Between 0.6 and 0.5: poor reliability.
Why is it important to choose measures with good reliability? 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.
Test-Retest Reliability. A measure of consistency for tests and other instruments. Individuals are asked to take the test of interest and then take the same test again at a later date. Remember, reliability refers to a test producing consistent results, not necessarily valid results.
To compute either test-retest or interrater reliability, select the Analysis menu, the Correlate submenu, and the Bivariate option to get this screen. This is the same screen for any bivariate correlation.
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