Repeatability vs. reproducibility, which should you use? Repeatability and reproducibility are two ways that scientists and engineers measure the precision of their experiments and measuring tools.
Repeatability or test–retest reliability[1] is the closeness of the agreement between the results of successive measurements of the same measure, when carried out under the same conditions of measurement. [2]
Simply put, repeatability is the variability of a measurement. For it to be established, the measurement must be taken by the same person, under the same conditions, using the same instruments, and in a short amount of time. Repeatability is important for researchers to verify their results.
Repeatability is the closeness of agreement between results when you measure the same thing multiple times under identical conditions. Those conditions must stay fixed: same person, same instrument, same method, same location, and measurements taken within a short time frame.
Repeatability is a measure of the likelihood that the answer is yes. To calculate repeatability, you conduct the same experiment multiple times and perform a statistical analysis on the results.
A level-1 repeatability standard deviation is computed for each group of J repetitions, and a graphical analysis is recommended for deciding if repeatability is dependent on the check standard, the operator, or the gauge. Two graphs are recommended. These should show:
Repeatability is the variation due to the measurement device. It is the variation that is observed when the same operator measures the same part many times, using the same gage, under the same conditions.
Repeatability is defined as the variability of a method under the same operating conditions over a short period, typically involving a single sample repeatedly prepared and analyzed by a single analyst in a laboratory.