Buch, Englisch, 787 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1482 g
Buch, Englisch, 787 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1482 g
ISBN: 978-1-4614-1388-2
Verlag: Springer
The Handbook of Quantitative Criminology is designed to be the authoritative volume on methodological and statistical issues in criminology and criminal justice. At a time when this field is gaining in sophistication and dealing with ever more complex empirical problems, this volume seeks to provide readers with a clear and up to date guide to quantitative criminology.
Authored by leading scholars in criminology/criminal justice, the Handbook contains 35 chapters on topics in the following key areas: (1) research design, (2) experimental methods, (3) methods for overcoming data limitations, (4) innovative descriptive methods, (5) estimation techniques for theory and policy, (6) topics in multiple regression, and (7) new directions in statistical analysis.
The contributions are written to be accessible to readers with a basic background in statistics and research methods, but they also provide a cutting edge view of statistical and methodological problems and questions. This book will be the go-to book for new and advanced methods in the field that will provide overviews of the key issues, with examples and figures as warranted, for students, faculty, and researchers alike.
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
Introduction
I. Topics in Research Design
1). 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 Limitations
7) Data reliability and data comparisons
8) Missing data
III) Innovative Descriptive Methods
10) Geographic mapping of crime
11) 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 Regression
17) Instrumental variables
18) Multilevel modeling
19) Logic and related extensions
20) Count models
VI) New Directions in Statistical Analysis
21) Geographic statistical analysis of crime
22) Data mining
23) Time series
24) Network analysis
Conclusion