000			03586nam a2200277 4500
001			393420
010			_a9780387776507
090			_a393420
100			_a20150727d2010 y0pory50 ba
101			_aeng
200			_aHandbook of quantitative criminology _bRecurso eletrónico _fed. Alex R. Piquero, David Weisburd
210			_aNew York _cSpringer _d2010
215			_a1 CD-ROM _d12 cm
300			_aFicheiro de 11,7 MB em formato PDF (787 p.).
330			_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.
606			_aESTATÍSTICA _9232358
606			_aESTATÍSTICAS CRIMINAIS _9343078
606			_aANÁLISE CRIMINAL _9321724
606			_aGEOGRAFIA CRIMINAL _9329853
606			_aINFORMAÇÃO GEOREFERENCIADA _9347423
606			_aMAPEAMENTO DO CRIME _9343998
702			_aPIQUERO _bAlex R. _4ed. _9357818
702			_aWEISBURD _bDavid _4ed. _9324903
955			_xOferta