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. Author manuscript; available in PMC: 2024 Jun 1.
Published in final edited form as: Law Hum Behav. 2023 Jun;47(3):422–435. doi: 10.1037/lhb0000533

Table 5.

Results of Conditional and Unconditional Ordinal Logistic Regression Models Predicting Court Dispositions From Race/Ethnicity and Overall Risk Level

Predictor Model 6.1 OR [95% CI] Model 6.2 OR [95% CI]

Intercept 1 4.73 [3.69, 6.07] 5.72 [4.73, 6.91]
Intercept 2 40 [31, 52] 48 [39, 59]
Black 0.60 [0.45, 0.78] 0.49 [0.40, 0.59]
Hispanic 0.65 [0.50, 0.86] 0.53 [0.43, 0.64]
Overall risk 0.30 [0.24, 0.38] 0.23 [0.22, 0.25]
Black × Overall Risk 0.76 [0.59, 0.98]
Hispanic × Overall Risk 0.75 [0.58, 0.97]
Residual deviance (df) 8,991 (11149) 8,996 (11151)

Note. Disposition was treated as an ordered-categorical variable with three categories: 1 = deferred adjudication, 2 = probation without placement, and 3 = probation with placement. Intercept 1 represents the log odds of being equal to 1 (deferred adjudication vs. probation without placement and probation with placement). Intercept 2 represents the log odds of being less than or equal to 2 (deferred adjudication and probation without placement vs. probation with placement). OR = odds ratio; CI = confidence interval.