rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Simulation Strategies to Reduce Recidivism
    sub title: Risk Need Responsivity (RNR) Modeling for the Criminal Justice System
  name:
    name part: Taxman, Faye S.
    role:
      role term: editor.
  name:
    name part: Pattavina, April.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 315 p. 30 illus. online resource.
  abstract: Mass incarceration, the recession, and the swinging pendulum of correctional philosophies has put increasing attention on the use of evidence-based practices and treatments to guide the future direction of our criminal justice system. The Risk-Need-Responsivity (RNR) framework has emerged as a useful set of organizing principles for treating offenders. While the literature is supportive of the RNR approach, we understand little about the system impacts of moving in this direction. Some important questions include: What would happen if we implemented RNR programming system-wide? How can we simulate such a complex strategy? What is the estimated impact on individuals, programs, and systems? Simulation modeling can be used to address these basic questions. Since the 1970’s, simulation models have been used to capture the realities of the criminal justice system. Some early simulation projects were limited due to lack of data available to validate models, deficits in skills needed by staff to design and build models, and limited access to computing technology required to transform models into systems representations. This timely book revisits the concept of simulation modeling for the 21st century: the wider availability of data has created more opportunity to verify and validate models; computing software has become more available and easier to use; and the capacity for visualization and communication of models shows promise for the future of simulation in criminal justice. This is an opportune time to make use of simulation models to examine the complex world of corrections and investigate the possible outcomes associated with implementing the RNR approach. Simulation Strategies to Reduce Recidivism provides a central source of information on the current state of simulation modeling in corrections. It includes an overview of the methods used to build simulation models that address questions about appropriate placement of offenders in programs and controls, as well as …
  table of contents: Introduction -- The Stages of Simulation Models in Criminal Justice -- Simulation Language, Software, and Data Needs -- Using Simulation Methods to Estimate the Cost of Policy Choices -- A Dynamic Systems Approach to Examining Sentencing Alternatives -- Assessing Correctional Treatment Outcomes with Simulation Techniques -- A Discrete-Event Simulation Model of Heroine Use and Treatment Over the Lifecourse -- Using Evidence-Based Research to Inform Model Assumptions -- Developing Synthetic Data for Criminal Justice Simulation -- The Growing Use of Simulation Techniques by Sentencing Commissions -- Creating and Sustaining Organizational Support for Simulation Use -- Maintaining Agency-Based Simulation Models -- The Benefits of Using Simulation from Criminal Justice Education.
  note: edited by Faye S. Taxman, April Pattavina.
  subject:
    topic: Social sciences
  subject:
    topic: Social policy
  subject:
    topic: Criminology
  subject:
    topic: Social Sciences
  subject:
    topic: Criminology & Criminal Justice
  subject:
    topic: Social Policy
  classification: HV6001-7220.5
  classification: 364
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461461883
  identifier: http://dx.doi.org/10.1007/978-1-4614-6188-3
  record info:
    record creation date: 130606
    record change date: 20150519184419.0
    record identifier: 978-1-4614-6188-3