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. Author manuscript; available in PMC: 2014 Mar 17.
Published in final edited form as: Struct Equ Modeling. 2010 Oct 12;17(4):605–628. doi: 10.1080/10705511.2010.510050

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.