Dissertation/Thesis Abstract

Examining Evidence Based Practices: Using the Level of Services Inventory–Revised in Sentencing
by White, Janeena Jamison, Psy.D., Ashford University, 2019, 150; 22617287
Abstract (Summary)

In efforts to reduce high incarceration rates and disparate sentencing, states are increasingly relying on evidence-based practices such as actuarial risk assessment tools in sentencing. The focus of this quantitative correlational ex post facto study was to determine if disparate sentencing occurred for minority and socioeconomically disadvantaged individuals in the state of Idaho before and after 2012, the year in which the Level of Service Inventory–Revised (LSI–R) domain and overall scores were first provided to judges in presentence investigation reports. The data included all guilty felony conviction sentences over 10 years (2007–2017, N = 56,273), including length of sentence; crime type; LSI–R overall and domain scores; court jurisdiction; and offender demographics including age, race/ethnicity, and gender. Analysis showed that high risk individuals were not more likely to receive incarceration versus probation placement after risk information was placed in presentence investigation reports but were more likely to receive longer sentences. More socioeconomically disadvantaged and minority offenders were more likely to be sentenced to incarceration versus probation. However, it is not known if this is strictly due to the use of risk information at sentencing.

Indexing (document details)
Advisor: McLaughlin, Thomas
Commitee: Bradley, Gregory, Rentler, David
School: Ashford University
Department: Psychology
School Location: United States -- Colorado
Source: DAI-A 81/2(E), Dissertation Abstracts International
Subjects: Criminology, Social research, Quantitative psychology
Keywords: Actuarial assessments, Criminal justice reform, Disproportionate sentencing, Level of Service Inventory-Revised, Risk-need-responsivity, Sentencing practices
Publication Number: 22617287
ISBN: 9781085652933
Copyright © 2020 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy