Using multivariate logistic regression, Lowenkamp, Hubbard, Makarios, and Latessa identified the following characteristic(s) most likely to predict recidivism: _______________.

Question

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Lowenkamp, Hubbard, Makarios, and Latessa, through their research using multivariate logistic regression, identified that age, risk category, and group membership are characteristics most likely to predict recidivism. This approach allows for the analysis of multiple variables simultaneously to understand their impact on the likelihood of reoffending.

Using Multivariate Logistic Regression, Lowenkamp, Hubbard, Makarios, and Latessa Identified