We are receiving a lot of questions about relevant analyses in the Analyse-it Method Validation edition to help in evaluating new diagnostic tests in the fight against COVID-19. Below are some quick links that will help, but contact us if you have questions - we are working as normal.
Also see our latest blog post: Sensitivity/Specificity and The Importance of Predictive Values for a COVID-19 test
An MR-chart is a type of control chart used to process variability (as the moving range of successive observations) when measuring individuals at regular intervals from a process.
When data are individual observations, it is not possible to use the standard deviation or range of subgroups to assess the variability and instead the moving range is an estimate the variability.
Given a series of observations and a fixed subset size, the first element of the moving range is the range of the initial subset of the number series. Then the subset is modified by "shifting forward"; that is, excluding the first number of the series and including the next number following the subset in the series. The next element of the moving range is the range of this subset. This process is repeated over the entire series creating a moving range statistic.
Larger values have a dampening effect on the statistic and may be preferable when the data are cyclical.
Each point on the chart represents the value of a moving range.
The center line is the expected value of the range statistic.
You should be careful when interpreting a moving range chart because the values of the statistic are correlated. Correlation may appear as a pattern of runs or cycles on the chart. Some authors (Rigdon et al., 1994) recommend not plotting a moving range chart as moving range does not provide any useful information about shifts in process variability beyond the I-chart.