Attribute gauge chart plots the % Agreement, which is a measurement of rater agreement for every part in the study. The agreement for each part is calculated by comparing the ratings for every pair of raters for all ratings of that part. See Statistical Details for Attribute Gauge Charts.
Follow the instructions in Example of an Attribute Gauge Chart to produce the results shown in Attribute Gauge Chart.
The first chart in Attribute Gauge Chart uses all X grouping variables (in this case, the Part) on the x-axis. The second chart uses all Y variables on the x-axis (typically, and in this case, the Rater).
The Agreement Report shows agreement summarized for each rater and overall agreement. This report is a numeric form of the data presented in the second chart in the Attribute Gauge Chart report. See Attribute Gauge Chart.
The Effectiveness Report appears only if you have specified a Standard variable in the launch window. For a description of a Standard variable, see Launch the Variability/Attribute Gauge Chart Platform. This report compares every rater with the standard.
The Agreement Counts table shows cell counts on the number correct and incorrect for every level of the standard. In Effectiveness Report, the standard variable has two levels, 0 and 1. Rater A had 45 correct responses and 3 incorrect responses for level 0, and 97 correct responses and 5 incorrect responses for level 1.
Effectiveness is defined as follows: the number of correct decisions divided by the total number of opportunities for a decision. For example, say that rater A sampled every part three times. On the sixth part, one of the decisions did not agree (for example, pass, pass, fail). The other two decisions would still be counted as correct decisions. This definition of effectiveness is different from the MSA 3rd edition. According to MSA, all three opportunities for rater A on part six would be counted as incorrect. Including all of the inspections separately gives you more information about the overall inspection process.
The Misclassifications table shows the incorrect labeling. The rows represent the levels of the standard or accepted reference value. The columns contain the levels given by the raters.