Overview for Attribute Agreement Analysis

Use Attribute Agreement Analysis to assess whether appraisers are consistent with themselves, with one another, and with known standards. For example, a quality engineer wants to assess the consistency and correctness of the appraisers' ratings who rate the print quality of cotton fabric.

Attribute data are subjective ratings by appraisers instead of direct physical measurements. The data can be binary, nominal, or ordinal. For example, appraisers for a clothing manufacturer can evaluate fabric samples several different ways, such as the following:

The appraisers can use binary ratings and rate the samples as pass or fail.
The appraisers can use ordinal ratings and rate the samples on a scale of 1 to 10.
The appraisers can use nominal ratings and rate the samples as light blue, medium blue, or dark blue.

Where to find this analysis

To perform an attribute agreement analysis, choose Stat > Quality Tools > Attribute Agreement Analysis.

When to use an alternate analysis

To analyze your measurement system when you have a binary attribute measurement gage that produces pass/fail data, use Attribute Gage Study (Analytic Method).
To analyze your measurement system when you have continuous data, use a gage R&R study. Minitab provides several gage R&R studies, including Crossed Gage R&R Study, Nested Gage R&R Study and Expanded Gage R&R Study.