Abstract
This study focused on sentencing outcomes in Michigan Circuit Courts for crimes against the person, drug laws violations, and property crimes. Each crime was analyzed in terms of in/out sentencing decisions and length of sentence. Analysis of data was in two phases. In the first phase, a logistic regression model was used to determine which of the independent variables of age, race, sex, prior record, and status at time of disposition predicted whether or not the offender would be incarcerated. In second phase, a multiple regression model was utilized on the independent variables used in phase one to predict length of sentence. There were a number of independent variables that affected in/out decisions, and sentence length and race was one of them. When all crimes as a group were combined, race also was a factor for in/out decisions and length of sentence.
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