The RNR model is an effective method for reducing recidivism rates (Andrews & Bonta, 2010). While risk and need principles have garnered attention, responsivity factors are not as well understood. This study examined the use of specific responsivity factors - trauma, mental health, and self-efficacy in conjunction with the Dynamic Risk Assessment for Offender Re-entry (DRAOR) in predicting recidivism. Archival data were used from the Iowa Department of Corrections database to create a sample of male justice-involved persons (N = 3,703). Linear regressions revealed relationships between responsivity factors and total DRAOR scores and items of interest. Logistic regressions revealed relationships between responsivity factors and recidivism. Only trauma and self-efficacy incrementally predicted recidivism in addition to the DRAOR. The best model for predicting recidivism included DRAOR scores, trauma, and self-efficacy. This study demonstrates the usefulness of these items in case management as well as the importance of considering specific responsivity factors.