Example of an Attribute Gauge Chart | JMP 12

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Quality and Process Methods • Attribute Gauge Charts • Example of an Attribute Gauge Chart

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Example of an Attribute Gauge Chart

Suppose that you have data containing pass or fail ratings for parts. Three raters, identified as A, B, and C, each noted a 0 (pass) or a 1 (fail) for 50 parts, three times each. You want to examine how effective the raters were in correctly classifying the parts, and how well the raters agreed with each other and with themselves over the course of the ratings.

1.	Select Help > Sample Data Library and open Attribute Gauge.jmp.

2.	Select Analyze > Quality and Process > Variability / Attribute Gauge Chart.

3.	For Chart Type, select Attribute.

4.	Select A, B, and C and click Y, Response.

5.	Select Standard and click Standard.

6.	Select Part and click X, Grouping.

7.

Example of an Attribute Chart

The first chart (Part) shows how well the raters agreed with each other for each part. For example, here you can see that the percent agreement dropped for part 6, 12, 14, 21, 22, and so on. These parts might have been more difficult to categorize.

The second chart (Rater) shows each rater’s agreement with him or herself and the other raters for a given part, summed up over all of the parts. In this example, it looks like the performance of the raters is relatively similar. Rater C had the lowest agreement, but the difference is not major (about 89% instead of 91%).

Launch the Variability/Attribute Gauge Chart Platform

Launch the Variability/Attribute Gauge Chart platform by selecting Analyze > Quality and Process > Variability/Attribute Gauge Chart. Set the Chart Type to Attribute.

The Variability/Attribute Gauge Chart Launch Window

Choose between a variability gauge analysis (for a continuous response) or an attribute gauge analysis (for a categorical response, usually “pass” or “fail”).

Note: The content in this chapter covers only the Attribute chart type. For details about the Variability chart type, see Variability Gauge Charts section.

Specify the alpha level used by the platform.

Specify the columns of ratings given by each rater. You must specify more than one rating column.

Specify a standard or reference column that contains the “true” or known values for the part. In the report window, an Effectiveness Report and an additional section in the Agreement Comparisons report appear, which compare the raters with the standard.

Specify the classification columns that group the measurements. If the factors form a nested hierarchy, specify the higher terms first.

Identifies the data table column whose values assign a frequency to each row. Can be useful when you have summarized data.

Identifies a column that creates a report consisting of separate analyses for each level of the variable.

For more information about the launch window, see the Using JMP book.