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Case Volume Effects on Courtroom Decision Making: Trial Court Conviction and Prison Rates

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Abstract:

This paper will build on a presentation made at the 2005 American Society of Criminology Conference about a method for “unpacking” courtroom decision making. This method enables one to identify whether annual fluctuations and equilibrium shifts in a trial court conviction rate trend (rates are based on cases disposed in the trial court and lower/criminal court) for a given jurisdiction, were due to changes in case volume, policy/practice/law, or average case seriousness. It is grounded in the concept of normed courtroom decision-making and tenets of the resource saturation hypothesis (Fisher and Nagin, 1978). Once effects are isolated, one can begin to examine how decision-making criteria were changed in response to case volume or policy/practice/law effects. This paper examines the extent to which case volume effects on the probability of trial court conviction also affected the probability of prison. It will show how law enforcement strategies that led to sharp increases in drug offenses in the eighties and quality-of-life crime in the mid-nineties affected the probability of trial court conviction and prison in selected New York City counties. It will also show how these case volume effects affected New York State’s prison population. Finally, it will demonstrate that the conduct of jurisdictional-specific research is critical to our understanding of how structural factors such as case volume affect decision making and the magnitude of case processing disparities. This analysis uses case-level arrest and disposition data from the New York State Computerized Criminal History System.
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Name: American Society of Criminology (ASC)
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http://www.asc41.com


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URL: http://www.allacademic.com/meta/p126640_index.html
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MLA Citation:

Lansing, Sharon. "Case Volume Effects on Courtroom Decision Making: Trial Court Conviction and Prison Rates" Paper presented at the annual meeting of the American Society of Criminology (ASC), Los Angeles Convention Center, Los Angeles, CA, Nov 01, 2006 <Not Available>. 2009-05-24 <http://www.allacademic.com/meta/p126640_index.html>

APA Citation:

Lansing, S. , 2006-11-01 "Case Volume Effects on Courtroom Decision Making: Trial Court Conviction and Prison Rates" Paper presented at the annual meeting of the American Society of Criminology (ASC), Los Angeles Convention Center, Los Angeles, CA <Not Available>. 2009-05-24 from http://www.allacademic.com/meta/p126640_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: This paper will build on a presentation made at the 2005 American Society of Criminology Conference about a method for “unpacking” courtroom decision making. This method enables one to identify whether annual fluctuations and equilibrium shifts in a trial court conviction rate trend (rates are based on cases disposed in the trial court and lower/criminal court) for a given jurisdiction, were due to changes in case volume, policy/practice/law, or average case seriousness. It is grounded in the concept of normed courtroom decision-making and tenets of the resource saturation hypothesis (Fisher and Nagin, 1978). Once effects are isolated, one can begin to examine how decision-making criteria were changed in response to case volume or policy/practice/law effects. This paper examines the extent to which case volume effects on the probability of trial court conviction also affected the probability of prison. It will show how law enforcement strategies that led to sharp increases in drug offenses in the eighties and quality-of-life crime in the mid-nineties affected the probability of trial court conviction and prison in selected New York City counties. It will also show how these case volume effects affected New York State’s prison population. Finally, it will demonstrate that the conduct of jurisdictional-specific research is critical to our understanding of how structural factors such as case volume affect decision making and the magnitude of case processing disparities. This analysis uses case-level arrest and disposition data from the New York State Computerized Criminal History System.

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