Previous research has focused on static measures as predictors of sex offender recidivism. Some of the main static variables attributed to recidivism among sex offenders are criminal history, employment status, age at first offense, severity of offense, marital status, and educational attainment among others. The authors caution that although the focus on static variables as predictors of recidivism is not misguided, there are also important dynamic variables that may contribute to recidivism among sex offenders. As such, the authors examined the records of 194 convicted child molesters in order to discern the impact of treatment involvement on subsequent recidivism. Other variables examined included the static variables of demographic information, criminal history, and offense. By examining both static and dynamic factors, the authors argue that sex offender recidivism can be better predicted. The study group was divided between those who received intensive cognitive-behavioral treatment (n = 76) and those who received no treatment (n = 118). Recidivism was measured using subsequent arrest data. Results of multivariate statistical analyses revealed that recidivism was significantly related to offender demographics, offense characteristics, criminal history, and quality of treatment involvement. Offenders who successfully completed treatment were shown to be less likely to recidivate. Those who were more likely to recidivate tended to be younger, unmarried, less violent, and had previous arrests for property offenses. Although this research supports the findings of previous research regarding treatment effectiveness and sex offender recidivism, more research is needed to uncover the impact of treatment-related conditions such as comorbid mental health and substance abuse issues. Tables, references