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Research Article

Using Recovery Capital to Predict Retention and Change in Recovery Residences in Virginia, USA

, PhD, , PhD, , , , & show all

Figures & data

Table 1. Summary socio-demographi.c characteristics, n = 2,182.

Table 2. Logistic regression model (“Not-retained” as outcome measure).

Figure 1. Changes in Overall Recovery Capital Score (ORCS) over Assessments.

Figure 1. Changes in Overall Recovery Capital Score (ORCS) over Assessments.

Table 3. Regression coefficients of the fitted marginal model, ARC.

Table 4. Regression coefficients of the fitted marginal model, barriers to recovery.