What is the best statistical measurement technique to monitor ordinal data so that we can detect trends in the data over time?
I have individual odor panel data (y-axis) for each lot of product (x-axis) produced over time and would like to detect a trend change. Details: (1) 2 odor panelists score each lot of product produced, (2) two panelists are random from a pool of trained panelists, (3) odor scores are ordinal with scores of 1, 2, 3, 4, or 5, (3) score of 3 is our low specification limit for release, (4) a lot might be measured twice if the filling lot order occurs inter-shift.
The data is attached for one product SKU produced in 2023-2024 (to date).
