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. Author manuscript; available in PMC: 2024 Jan 1.
Published in final edited form as: Crim Justice Behav. 2022 Mar 21;50(1):6–21. doi: 10.1177/00938548221082997

TABLE 2: Average Effect Due to Treatment (ATE) Across Multiple Models.

Statistical technique Probation violation count
Probation violation any
Referral count
Referral any
Effect 95% CI Effect 95% CI Effect 95% CI Effect 95% CI
IPW 0.77 [−0.34, 1.88] 0.17 [−0.06, 0.39] −0.61* [−0.96, −0.25] −0.20 [−0.43, 0.03]
IPW with covariates 0.84 [−0.78, 2.48] 0.14 [−0.26, 0.54] −0.59* [−1.09, −0.09] −0.16 [−0.51, 0.19]
CEM 0.64 [−0.54, 1.84] 0.18 [−0.06, 0.42] −0.82* [−1.37, −0.28] −0.25* [−0.48, −0.01]
CEM with covariates 0.63 [−0.47, 1.72] 0.17 [−0.05, 0.41] −0.82* [−1.37, −0.27] −0.26* [−0.48, −0.03]

Note. CEM, n = 121; IPW, n = 290. ATE = average treatment effect; CI = confidence interval; IPW = inverse probability weight; CEM = coarsened exact matching.

*

p < .05.