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Figure 43. MINITAB “Agreement of Appraiser and Standard”
Each Appraiser vs. Standard
Assessment Agreement
Appraiser # Inspected # Matched Percent (%) 95.0% CI
InspA 2 1 50.0 ( 1.3, 98.7)
InspB 2 2 100.0 ( 22.4, 100.0)
InspC 2 0 0.0 ( 0.0, 77.6)
# Matched: Appraiser’s assessment across trials agrees with standard.
Figure 44. Plot of “Agreement of Appraiser and Standard”
Date of study:
Assessment Agreement Reported by:
Name of product:
Misc:
Appraiser vs Standard
100
[ , ] 95.0% CI
Percent
Percent 50
0
InspA InspB InspC
Appraiser
MINITAB also looks at whether or not there is a distinct pattern in the disagreements
with the standard. It does this by counting the number of times the appraiser classified
an item as a 1 when the standard said it was a 0 (the # 1/0 Percent column), how often
the appraiser classified an item as a 0 when it was a 1 (the # 0/1 Percent column), and
how often the appraiser’s classifications were mixed, i.e., not repeatable (the # Mixed
Percent column). The results are shown in Figure 45. The results indicate that there is no
consistent bias, defined as consistently putting a unit into the same wrong category. The
problem, as shown in the previous analysis, is that appraisers A and C are not
repeatable.
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