RT Research Data T1 Alabama Sentencing Simulation Model, 1998-2003 A1 Speir, John A2 Flynt, Lynda A2 Morrison, Melisa A2 Wright, Bennet LA English PP Erscheinungsort nicht ermittelbar PB [Verlag nicht ermittelbar] YR 2014 UL https://krimdok.uni-tuebingen.de/Record/1840046406 AB Prior to 2003, the State of Alabama had no formal methodology to forecast prison populations, including a simulation model or statistical time-series and forecasting methods. Instead, the Alabama Department of Corrections relied on percent growth models, using the existing prison population to forecast future statewide prison populations. As Alabama moved toward a structured sentencing system, more precision was needed to investigate the impact statewide sentencing reform would have on the prison population. Adding to the need for more precise forecast methods, the Alabama Sentencing Commission intended to incorporate Virginia worksheet-style sentencing guidelines into its sentencing reform efforts. The Virginia sentencing guidelines uses offender and offense factors identified with statistical models and weights to guide sentence recommendations. Alabama require an analytical tool to guide the Commission during development of such a complicated sentencing system. To shepherd this process, the simulation model development project was undertaken which consisted of three phases; K1 Corrections K1 judicial decisions K1 judicial process K1 sentence review K1 Sentencing K1 Sentencing Guidelines K1 simulation models K1 Forschungsdaten DO 10.3886/ICPSR34671.v1