000			04786nam a22004577a 4500
001			sulb-eb0022474
003			BD-SySUS
005			20160413122259.0
007			cr nn 008mamaa
008			130606s2013 xxu| s |||| 0|eng d
020			_a9781461461883 _9978-1-4614-6188-3
024	7		_a10.1007/978-1-4614-6188-3 _2doi
050		4	_aHV6001-7220.5
072		7	_aJKV _2bicssc
072		7	_aSOC004000 _2bisacsh
082	0	4	_a364 _223
245	1	0	_aSimulation Strategies to Reduce Recidivism _h[electronic resource] : _bRisk Need Responsivity (RNR) Modeling for the Criminal Justice System / _cedited by Faye S. Taxman, April Pattavina.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXI, 315 p. 30 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- 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.
520			_aMass 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 applications of these models. Authors use simulation tools to investigate the impact of diversion programs, to map offender movement through programs and systems, and to address other grappling issues regarding the capability to build effective recidivism reduction systems. This work will be an important resource for researchers in criminal justice and related fields, as well as those studying policy-related topics.
650		0	_aSocial sciences.
650		0	_aSocial policy.
650		0	_aCriminology.
650	1	4	_aSocial Sciences.
650	2	4	_aCriminology & Criminal Justice.
650	2	4	_aSocial Policy.
700	1		_aTaxman, Faye S. _eeditor.
700	1		_aPattavina, April. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461461876
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-6188-3
912			_aZDB-2-SHU
942			_2Dewey Decimal Classification _ceBooks
999			_c44566 _d44566