TABLE 1.
Mahalanobis Distances
No. of Indicators |
r = 0 | r = .2 | r = .4 | r = .6 | r = .8 |
---|---|---|---|---|---|
d = 0.6 | |||||
4 | 1.20 | 0.95 | 0.81 | 0.72 | 0.65 |
6 | 1.47 | 1.04 | 0.85 | 0.73 | 0.66 |
8 | 1.70 | 1.10 | 0.87 | 0.74 | 0.66 |
10 | 1.90 | 1.13 | 0.88 | 0.75 | 0.66 |
12 | 2.08 | 1.16 | 0.89 | 0.75 | 0.66 |
d = 1.2 | |||||
4 | 2.40 | 1.90 | 1.62 | 1.43 | 1.30 |
6 | 2.94 | 2.08 | 1.70 | 1.47 | 1.31 |
8 | 3.39 | 2.19 | 1.74 | 1.49 | 1.32 |
10 | 3.79 | 2.27 | 1.77 | 1.50 | 1.33 |
12 | 4.16 | 2.32 | 1.79 | 1.51 | 1.33 |
d = 1.8 | |||||
4 | 3.60 | 2.85 | 2.43 | 2.15 | 1.95 |
6 | 4.41 | 3.12 | 2.55 | 2.20 | 1.97 |
8 | 5.09 | 3.29 | 2.61 | 2.23 | 1.98 |
10 | 5.69 | 3.40 | 2.65 | 2.25 | 1.99 |
12 | 6.24 | 3.49 | 2.68 | 2.26 | 1.99 |
Note. Mahalanobis distances (MD) at various levels of Cohen’s distance d between groups for all individual indicators. Note that the univariate d is constant across indicators but the MD increases as the number of indicators increases. When the number of indicators is 1, MD = d. As the correlation among all indicators approaches 1, MD approaches d.