| 036a | XA-GB |
| 037b | eng |
| 077a | 371734681 Druckausg.: ‡MacLeod, John F.: Explaining criminal careers |
| 087q | 978-0-19-969724-3 |
| 100 | MacLeod, John F. |
| 104a | Grove, Peter G. |
| 108a | Farrington, David |
| 331 | Explaining criminal careers |
| 335 | implications for justice policy |
| 403 | 1. ed. |
| 410 | Oxford |
| 412 | Oxford University Press |
| 425 | 2012 |
| 425a | 2012 |
| 433 | XVI, 256 S. : graph. Darst., Ill. |
| 451b | Clarendon studies in criminology |
| 501 | Includes bibliographical references and index |
| 527 | Print versionISBN: 978-0-19-969724-3 |
| 527 | Druckausg.: ‡MacLeod, John F.: Explaining criminal careers |
| 540a | ISBN 978-0-19-969724-3 |
| 540a | ISBN 0-19-969724-8 |
| 700b | |364.30941 |
| 700c | |HV6944 |
| 700g | 127179389X PH 8400 |
| 750 | Explaining Criminal Careers presents a simple quantitative theory of crime, conviction and reconviction, the assumptions of the theory are derived directly from a detailed analysis of cohort samples drawn from the “UK Home Office” Offenders Index (OI). Mathematical models based on the theory, together with population trends, are used to make: exact quantitative predictions of features of criminal careers; aggregate crime levels; the prison population; and to explain the age-crime curve, alternative explanations are shown not to be supported by the data. Previous research is reviewed, clearly identifying the foundations of the current work. Using graphical techniques to identify mathematical regularities in the data, recidivism (risk) and frequency (rate) of conviction are analysed and modelled. These models are brought together to identify three categories of offender: high-risk / high-rate, high-risk / low-rate and low-risk / low-rate. The theory is shown to rest on just 6 basic assumptions. Within this theoretical framework the seriousness of offending, specialisation or versatility in offence types and the psychological characteristics of offenders are all explored suggesting that the most serious offenders are a random sample from the risk/rate categories but that those with custody later in their careers are predominantly high-risk/high-rate. In general offenders are shown to be versatile rather than specialist and can be categorised using psychological profiles. The policy implications are drawn out highlighting the importance of conviction in desistance from crime and the absence of any additional deterrence effect of imprisonment. The use of the theory in evaluation of interventions is demonstrated. |
| 902g | 208942076 Großbritannien |
| 902s | 209608595 Kriminelle Karriere |
| 902s | 209651067 Kriminalstatistik |
| 902s | 209000511 Kriminalität |
| 902s | 209574712 Prognosemodell |
| 902s | 20900052X Kriminalpolitik |
| 907g | 208942076 Großbritannien |
| 907s | 209608595 Kriminelle Karriere |
| 907s | 209651067 Kriminalstatistik |
| 907s | 209000511 Kriminalität |
| 907s | 209574712 Prognosemodell |
| 907s | 20900052X Kriminalpolitik |
| 012 | 407857435 |
| 081 | Explaining criminal careers |
| 100 | E-Book Oxford EBS |
| 125a | Elektronischer Volltext - Campuslizenz |
| 655e | $uhttp://dx.doi.org/10.1093/acprof:oso/9780199697243.001.0001 |
