東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ author_sort:"cohen, mark a." ]

切換: 標籤 | MARC模式 | ISBD

An evaluation of the consistency of ...

Cohen, Mark A.

FindBook

Google Book

Amazon

博客來

An evaluation of the consistency of judicial sentencing systems that incorporate subjective factors.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An evaluation of the consistency of judicial sentencing systems that incorporate subjective factors./
作者:	Cohen, Mark A.
面頁冊數:	129 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-07, Section: A, page: 2362.
Contained By:	Dissertation Abstracts International67-07A.
標題:	Law. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3226959
ISBN:	9780542784941

An evaluation of the consistency of judicial sentencing systems that incorporate subjective factors.
Cohen, Mark A.

An evaluation of the consistency of judicial sentencing systems that incorporate subjective factors. - 129 p.

Source: Dissertation Abstracts International, Volume: 67-07, Section: A, page: 2362.

Thesis (Ph.D.)--Nova Southeastern University, 2006.

Greater consistency in sentencing decisions can be achieved by implementation of a judicial decision support system (JDSS). Maryland has sentencing guidelines that judges use for sentencing decisions in criminal cases. The existing system in Maryland uses a sentencing worksheet with nonsubjective factors. A recommended sentencing guideline range is issued for each case based on points given for the nonsubjective factors. This research investigated whether the incorporation of subjective factors in the Maryland sentencing guidelines, operating as a judicial decision support system, improved the consistency of sentencing decisions.

ISBN: 9780542784941Subjects--Topical Terms:

600858
Law.

An evaluation of the consistency of judicial sentencing systems that incorporate subjective factors.
LDR:02952nmm 2200313 4500 001 1828368
005 20071112135330.5
008 130610s2006 eng d
020 $a 9780542784941
035 $a (UMI)AAI3226959
035 $a AAI3226959
040 $a UMI $c UMI
100 1 $a Cohen, Mark A. $3 1917268
245 1 3 $a An evaluation of the consistency of judicial sentencing systems that incorporate subjective factors.
300 $a 129 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-07, Section: A, page: 2362.
500 $a Adviser: Sumitra Mukherjee.
502 $a Thesis (Ph.D.)--Nova Southeastern University, 2006.
520 $a Greater consistency in sentencing decisions can be achieved by implementation of a judicial decision support system (JDSS). Maryland has sentencing guidelines that judges use for sentencing decisions in criminal cases. The existing system in Maryland uses a sentencing worksheet with nonsubjective factors. A recommended sentencing guideline range is issued for each case based on points given for the nonsubjective factors. This research investigated whether the incorporation of subjective factors in the Maryland sentencing guidelines, operating as a judicial decision support system, improved the consistency of sentencing decisions.
520 $a A JDSS prototype was developed, which incorporated subjective factors with nonsubjective factors from the existing system for sentencing decisions. Consistency was measured by the percent of sentencing decisions that were within the recommended guideline range for the existing system based on nonsubjective factors versus the percent of sentencing decisions that were within the recommended guideline range for the JDSS prototype based on nonsubjective and subjective factors. A random sample of 2,944 cases from 1998 to 2003 was used for this research. Cases were limited to Category V, Felony Theft cases. Multiple regression linear analysis displayed a nonlinear relationship between the nonsubjective factors and the sentencing decisions for the existing system. Results also indicated a nonlinear relationship between the nonsubjective factors, the subjective factors, and the sentencing decisions using the JDSS prototype.
520 $a Decision tree inductive learning was then used with a random sample of 500 cases. Thirty percent of the cases were used to train the data set. Results using decision tree inductive learning indicated greater consistency for sentencing decisions using the JDSS prototype versus the existing system. The incorporation of subjective factors in the JDSS prototype improved the consistency of sentencing decisions.
590 $a School code: 1191.
650 4 $a Law. $3 600858
650 4 $a Information Science. $3 1017528
650 4 $a Computer Science. $3 626642
690 $a 0398
690 $a 0723
690 $a 0984
710 2 0 $a Nova Southeastern University. $3 1017571
773 0 $t Dissertation Abstracts International $g 67-07A.
790 1 0 $a Mukherjee, Sumitra, $e advisor
790 $a 1191
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3226959