Use Create Attribute Agreement Analysis Worksheet to generate a data collection worksheet for your specific attribute agreement analysis. Minitab requires a certain data organization so that your attribute agreement analysis is performed correctly.
This example applies to the Measurement System Analysis Module. For more information, go to www.minitab.com/measurement-system-analysis-module.
The default attribute agreement analysis worksheet contains rows for 300 runs. This includes 50 samples, 3 appraisers, and 2 replicates. The default values should be considered minimum values. You can increase the number of samples, appraisers, and replicates, however, using smaller numbers of samples and appraisers will hinder your assessment of repeatability and reproducibility.
In this worksheet, RunOrder lists the order in which the assessments should be made. Samples and Appraisers list which appraiser assesses which sample for each run. Appraiser A assesses sample 1 first, then assesses sample 28. By default, runs are randomized within appraisers, so Appraiser A assesses all the samples first, Appraiser B assesses them second, and Appraiser C assesses them third. All appraisers should assess all the samples before they start the second sequence of replicates. Assessment values may be recorded in C4.
The data collection order in your worksheet will be different than the order in this worksheet, because the order for each worksheet is random. If you want to generate the same order more than one time, set the base of the random number generator.
C1 | C2 | C3-T |
---|---|---|
RunOrder | Samples | Appraisers |
1 | 1 | A |
2 | 28 | A |
3 | 6 | A |
4 | 37 | A |
5 | 44 | A |
6 | 38 | A |
… | … | … |
For more information about this analysis, click Help in the main dialog box.