Slide 9
Slide 9 text
Definitions
#1 K
i
is the i-distribution of Kendall
Coefficient i.e. Kendall Coefficient of
all the clusters of i experts.
#2 For a Delphi Analysis with n
experts, the Kendall Clustering
Analysis is the combinatorial analysis
of the distributions of the coefficient of
Kendall for different sizes of clusters of
experts i.e. K
i
for i=2 to n-1.
Kendall’s Clustering
Analysis I
E00x
E01x
E18x
E19x
QD
E00
01 QD
E00
02 QD
E00
44 QD
E00
45
Experts (p)
QD
E19
01 QD
E19
02 QD
E19
44 QD
E19
45
Questions (n)
Delphi Analysis
Final Round
Kendall(E
00x
, E
01x
, ... ,E
19x
) = 0,564 = K
20
Kendall Clustering Analysis
K
2
, K
3
, K
4
, K
5
, K
6
, K
7
, K
8
, K
9
, K
10
, K
11
, K
12
, K
13
, K
14
, K
15
, K
16
, K
17
, K
18
, K
19
For each K
i
→Max(K
i
), Min(K
i
), E(K
i
) and Std(K
i
)
Intra Round
Kendall Analysis
0.0 0.4 0.7 1.0
Weak Consensus Moderate Consensus Strong Consensus
Moderate
Weak
Moderate
Strong
0.55