The Minnesota Sex Offender Screening Tool-3.1 (MnSOST-3.1): An Update to the MnSOST-3
Group: Minnesota Department of Corrections
Since the 1990s, the Minnesota Sex Offender Screening Tool-Revised (MnSOST-R) has been one of the most widely-used sex offender risk assessment tools. Recently, the MnSOST-R was updated through the development of the MnSOST-3. Multiple logistic regression was used to create the MnSOST-3 and relied on bootstrap resampling to not only select items to be included in the instrument, but also to internally validate the model. The MnSOST-3, which is scored in a Microsoft Excel application, contains 11 predictors, two of which are interaction terms. In January 2012, the Minnesota Department of Corrections (MnDOC) began using the MnSOST-3 in place of the MnSOST-R. But after examining the first several hundred cases scored with the MnSOST-3, several issues arose concerning the behavior of the two interaction terms that prompted the development of the MnSOST-3.1, which is strictly a main effects model. In presenting the findings resulting from the creation of the MnSOST-3.1, the study shows that the predictive discrimination and calibration of the MnSOST-3.1 is similar to that of the MnSOST-3. Yet, because the MnSOST-3.1 excludes the two interaction terms, it produces risk assessment output that is somewhat simpler and easier to interpret.
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