Measuring Crime and Criminality

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advanced statistical models in criminology
Age Group_Uncategorized
Age Group_Uncategorized
Alex R. Piquero
Andrew Morral
Andrew V. Papachristos
Antisocial Behavior
automatic-update
B01=John MacDonald
Candice L. Odgers
Category1=Non-Fiction
Category=JB
Category=JF
Category=JKV
causal inference techniques
Charles F. Manski
Christopher J. Sullivan
Cointegrated Time Series
COP=United States
criminological research methods
Daniel S. Nagin
Dashed Arrow
Data Set
David S. Kirk
Delivery_Pre-order
DUI Conviction
DUI Offender
DUI Offense
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
experimental criminology
gene-environment interaction
Geoffrey C. Barnes
GMM Result
ITT Analysis
John K. Roman
John M. Macdonald
Jordan M. Hyatt
Jury Award
Language_English
LCGA
LCGA Model
LGC Model
longitudinal data analysis
Low Self-control
Marvin D. Krohn
Meta-analytic Synthesis
Michael A. Russell
NIBRS Data
Nonresidential Treatment
Ojmarrh Mitchell
OLS Regression
Outcome Optimization Model
PA=Temporarily unavailable
Person Period Data Set
Price_€100 and above
Prior Referrals
PS=Active
Ralph B. Taylor
Random Assignment
Raymond Paternoster
Recidivism Probability
Shawn D. Bushway
Social Science Research
Socially Desirable Response Bias
softlaunch
Terence P. Thornberry
victimization surveys

Product details

  • ISBN 9781412814812
  • Weight: 910g
  • Dimensions: 152 x 229mm
  • Publication Date: 30 Oct 2011
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Measuring Crime and Criminalityfocuses on how different approaches to measuring crime and criminality are used to test existing criminological theories. Each chapter reviews a key approach for measuring criminal behavior and discusses its strengths or weaknesses for explaining the facts of crime or answers to central issues of criminological inquiry. The book describes the state of the field on different approaches for measuring crime and criminality as seen by prominent scholars in the field.Among the featured contributions are: The Use of Official Reports and Victimization Data for Testing Criminological Theories; The Design and Analysis of Experiments in Criminology; and Growth Curve/Mixture Models for Measuring Criminal Careers. Also included are papers titled: Counterfactual Methods of Causal Inference and Their Application to Criminology; Measuring Gene-Environment Interactions in the Cause of Antisocial Behavior and What Has Been Gained and Lost through Longitudinal Research and Advanced Statistical Models?This volume of Advances in Criminological Theory illustrates how understanding the various ways criminal behavior is measured is useful for developing theoretical insights on the causes of crime.