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. Author manuscript; available in PMC: 2016 Jan 31.
Published in final edited form as: J Sch Psychol. 2014 Nov 14;53(1):7–24. doi: 10.1016/j.jsp.2014.10.001

Table 1.

Absolute Standardized Mean Difference and Variance Ratio of Covariates and Missing Data Pattern

Absolute Standardized
Mean Difference
Binary
Covariate
Ordinal
Covariate
Continuous
Covariate
Missing Data
Pattern




Before After Before After Before After Before After

SMD ≤ 0.05 26.32% 21.05% 0.00% 0.00% 6.67% 15.56% 31.82% 2.27%
0.050 < SMD ≤ 0.100 10.53% 21.05% 0.00% 0.00% 8.89% 11.11% 31.82% 6.82%
0.100 < SMD ≤ 0.125 5.26% 10.53% 0.00% 33.33% 4.44% 11.11% 20.45% 2.27%
0.125 < SMD ≤ 0.175 15.79% 10.53% 0.00% 0.00% 11.11% 15.56% 6.82% 0.00%
SMD > 0.175 42.11% 36.84% 100.00% 66.67% 68.89% 46.67% 9.09% 88.64%

Variance Ratio Binary
Covariate
Ordinal
Covariate
Continuous
Covariate
Missing Data
Pattern




Before After Before After Before After Before After

VR ≤ 0.50 0.00% 15.79% 0.00% 0.00% 0.00% 4.44% 0.00% 34.09%
0.50 < VR ≤ 0.80 21.05% 15.79% 0.00% 33.33% 11.11% 28.89% 27.27% 27.27%
0.80 < VR ≤ 1.25 47.37% 52.63% 66.67% 33.33% 57.78% 44.44% 47.73% 18.18%
1.25 < VR ≤ 2.00 31.58% 15.79% 33.33% 33.33% 28.89% 22.22% 11.36% 15.91%
VR > 2.00 0.00% 0.00% 0.00% 0.00% 2.22% 0.00% 13.64% 4.55%

Note. SMD is absolute standardized mean difference. VR is variance ratio. Before is before propensity score equating (pre-existing difference). After is after propensity score equating using the weighting by the odds method.