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Index
Cover
Frontmatter
1. Descriptive Approaches for Research and Policy: Innovative Descriptive Methods for Crime and Justice Problems
1. Introduction
2. Crime Mapping: Spatial and Temporal Challenges
3. Look Before You Analyze: Visualizing Data in Criminal Justice
4. Group-Based Trajectory Modeling: An Overview
5. General Growth Mixture Analysis with Antecedents and Consequences of Change
6. Spatial Regression Models in Criminology: Modeling Social Processes in the Spatial Weights Matrix
7. Mixed Method Research in Criminology: Why Not Go Both Ways?
2. Descriptive Approaches for Research and Policy: New Estimation Techniques for Assessing Crime and Justice Policy
8. Estimating Costs of Crime
9. Estimating Treatment Effects: Matching Quantification to the Question
10. Meta-analysis
11. Social Network Analysis
12. Systematic Social Observation in Criminology
3. New Directions in Assessing Design, Measurement and Data Quality
13. Identifying and Addressing Response Errors in Self-Report Surveys
14. Missing Data Problems in Criminological Research
15. The Life Event Calendar Method in Criminological Research
16. Statistical Power
17. Descriptive Validity and Transparent Reporting in Randomised Controlled Trials
18. Measurement Error in Criminal Justice Data
19. Statistical Models of Life Events and Criminal Behavior
4. Estimation of Impacts and Outcomes of Crime and Justice:
20. An Introduction to Experimental Criminology
21. Randomized Block Designs
22. Construct Validity: The Importance of Understanding the Nature of the Intervention Under Study
23. Place Randomized Trials
24. Longitudinal-Experimental Studies
25. Multisite Trials in Criminal Justice Settings: Trials and Tribulations of Field Experiments
26. Propensity Score Matching in Criminology and Criminal Justice
27. Recent Perspectives on the Regression Discontinuity Design
28. Testing Theories of Criminal Decision Making: Some Empirical Questions about Hypothetical Scenarios
29. Instrumental Variables in Criminology and Criminal Justice
30. Multilevel Analysis in the Study of Crime and Justice
31. Logistic Regression Models for Categorical Outcome Variables
32. Count Models in Criminology
33. Statistical Analysis of Spatial Crime Data
34. An Introduction to Statistical Learning from a Regression Perspective
35. Estimating Effects over Time for Single and Multiple Units
Backmatter
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