Quality and Reliability Methods - SAS

170 Variability Charts Chapter 10
Attribute Gauge Charts
Data Organization
Data should be in the form where each rater is in a separate column, since agreement and effectiveness are
both computed on these variables. In other words, if you want to compare agreement among raters, each
rater needs to be in a separate (Y) column.
Any other variables of interest, (part, instrument, rep, and so on) should appear stacked in one column each.
An optional standard column can be defined, which is then used in the Effectiveness Report. An example
data table, contained in the sample data folder as Attribute Gauge.jmp, is shown in Figure 10.17.
Figure 10.17 Attribute Data Example
Responses in the different Y columns can be character (Pass/Fail), numeric (0/1), or ordinal (low, medium,
high).
Launching the Platform
To begin an attribute gauge analysis, select Analyze > Quality and Process > Variability / Attribute Gauge
Chart. For the Attribute Gauge.jmp example, fill in the dialog as shown in Figure 10.18.