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Handbook of Quantitative Criminology

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Cover of 'Handbook of Quantitative Criminology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Crime Mapping: Spatial and Temporal Challenges
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    Chapter 3 Look Before You Analyze: Visualizing Data in Criminal Justice
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    Chapter 4 Group-Based Trajectory Modeling: An Overview
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    Chapter 5 General Growth Mixture Analysis with Antecedents and Consequences of Change
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    Chapter 6 Spatial Regression Models in Criminology: Modeling Social Processes in the Spatial Weights Matrix
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    Chapter 7 Handbook of Quantitative Criminology
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    Chapter 8 Estimating Costs of Crime
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    Chapter 9 Estimating Treatment Effects: Matching Quantification to the Question
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    Chapter 10 Meta-analysis
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    Chapter 11 Social Network Analysis
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    Chapter 12 Systematic Social Observation in Criminology
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    Chapter 13 Identifying and Addressing Response Errors in Self-Report Surveys
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    Chapter 14 Missing Data Problems in Criminological Research
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    Chapter 15 The Life Event Calendar Method in Criminological Research
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    Chapter 16 Statistical Power
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    Chapter 17 Descriptive Validity and Transparent Reporting in Randomised Controlled Trials
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    Chapter 18 Measurement Error in Criminal Justice Data
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    Chapter 19 Statistical Models of Life Events and Criminal Behavior
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    Chapter 20 An Introduction to Experimental Criminology
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    Chapter 21 Randomized Block Designs
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    Chapter 22 Construct Validity: The Importance of Understanding the Nature of the Intervention Under Study
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    Chapter 23 Place Randomized Trials
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    Chapter 24 Longitudinal-Experimental Studies
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    Chapter 25 Multisite Trials in Criminal Justice Settings: Trials and Tribulations of Field Experiments
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    Chapter 26 Handbook of Quantitative Criminology
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    Chapter 27 Recent Perspectives on the Regression Discontinuity Design
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    Chapter 28 Testing Theories of Criminal Decision Making: Some Empirical Questions about Hypothetical Scenarios
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    Chapter 29 Instrumental Variables in Criminology and Criminal Justice
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    Chapter 30 Multilevel Analysis in the Study of Crime and Justice
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    Chapter 31 Logistic Regression Models for Categorical Outcome Variables
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    Chapter 32 Count Models in Criminology
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    Chapter 33 Statistical Analysis of Spatial Crime Data
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    Chapter 34 An Introduction to Statistical Learning from a Regression Perspective
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    Chapter 35 Estimating Effects over Time for Single and Multiple Units
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