Judicial Decision Making, Sentencing Policy, and Numerical Guidance

Judicial Decision Making, Sentencing Policy, and Numerical Guidance

by Austin Lovegrove
     
 

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This book describes an original, empirical study of judicial decision making. The process of determining sentences is a difficult one for judges and often unnecessarily intuitive, subjective, and complex. The present study introduces a conceptual outline and empirical technique for increasing the precision of sentencing policy, thus offering an aid to judges who

Overview

This book describes an original, empirical study of judicial decision making. The process of determining sentences is a difficult one for judges and often unnecessarily intuitive, subjective, and complex. The present study introduces a conceptual outline and empirical technique for increasing the precision of sentencing policy, thus offering an aid to judges who sentence in the light of this policy. The primary purpose of this model of judicial decision making is to provide a framework for scaling the seriousness of any single case in relation to the facts of that case and for relating this assessment to the appropriate quantum of sentence. The validity of the model is tested and cross-validated in an archival study. This innovative research serves as an important prototype for a system of numerical guidance to judges and sentencers.

Editorial Reviews

Booknews
Introduces a conceptual framework and empirical technique for increasing the precision of sentencing policy. This model of judicial decision making provides a framework for scaling seriousness in relation to the facts of a case and for relating this assessment to the appropriate quantum of sentence. Alkaline paper. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9781468470826
Publisher:
Springer New York
Publication date:
04/06/2012
Series:
Research in Criminology Series
Edition description:
Softcover reprint of the original 1st ed. 1989
Pages:
320
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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