03649nam a2200265   4500001000700000010001800007090001100025100004100036101000800077200010000085210002900185215002000214300004900234330270400283606002602987606003703013606003103050606003103081606004303112606003203155702003403187702003303221955001103254995011803265393420  a9780387776507  a393420  a20150727d2010       y0pory50      ba  aeng  aHandbook of quantitative criminologybRecurso eletrónicofed. Alex R. Piquero, David Weisburd  aNew YorkcSpringerd2010  a1 CD-ROMd12 cm  aFicheiro de 11,7 MB em formato PDF (787 p.).  a1. Introduction. Part I-A. Descriptive Approaches for Research and Policy: Innovative Descriptive Methods for Crime and Justice Problems. 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? Part I-B. 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. Part II. 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. Part III-A. Estimation of Impacts and Outcomes of Crime and Justice: Topics in Experimental Methods. 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. Part III-B. Estimation of Impacts and Outcomes of Crime and Justice: Innovation in Quasi-Experimental Design. 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. Part III-C. Estimation of Impacts and Outcomes of Crime and Justice: Non-Experimental Approaches to Explaining Crime and Justice Outcomes. 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. Index.  aESTATÍSTICA9232358  aESTATÍSTICAS CRIMINAIS9343078  aANÁLISE CRIMINAL9321724  aGEOGRAFIA CRIMINAL9329853  aINFORMAÇÃO GEOREFERENCIADA9347423  aMAPEAMENTO DO CRIME9343998  aPIQUERObAlex R.4ed.9357818  aWEISBURDbDavid4ed.9324903  xOferta  104PJCD_268_00000000000000052022-06-066PJCD2689425867aPJcPJfPJ1CD268_28kPJCD268n2022-06-06o0rMOxOferta