Handbook of Quantitative Criminology

Introduction I. Topics in Research Design1). Experiments - trials 2). Experiments - block/randomized and subgroup 3). Propensity scores 4). Regression discontinuity designs 5) Quantitative and Qualitative Data 6) Statistical power II) Methods for Overcoming Data Limitations7) Data reliability and data comparisons 8) Missing data III) Innovative Descriptive Methods10) Geographic mapping of crime11) Visualizing data 12) Trajectories 13) Growth curve models IV) Estimation Techniques for Theory and Policy 14) Estimating Costs of Crime 15) Estimating treatment effects 16) Meta-analysis V) Topics in Multiple Regression17) Instrumental variables 18) Multilevel modeling19) Logic and related extensions 20) Count models VI) New Directions in Statistical Analysis 21) Geographic statistical analysis of crime 22) Data mining23) Time series 24) Network analysis Conclusion