| DC Field | Value | Language |
| dc.contributor.author | Piquero, Alex R. | - |
| dc.date.accessioned | 2021-04-19T09:28:08Z | - |
| dc.date.available | 2021-04-19T09:28:08Z | - |
| dc.date.issued | 2010 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/86 | - |
| dc.description | Since there were limits to the degree to which one could experimentally manipulate the
criminal justice system, a wide variety of modeling approaches developed. These include
simulation models to analyze the flow of offenders through the system, models of crim-
inal careers, and their dynamics from initiation to termination. Daniel Nagin introduced
trajectory models as an important means of aggregating the dynamics of hundreds of indi-
vidual longitudinal trajectories into a small number of distinct patterns that could capture the
essential characteristics of longitudinal phenomena. Other models included spatial models of
the diffusion of criminal activity within a community or across communities, network models
characterizing the linkages among groups of offenders, and many more.
These are just a sampling of the many analytic innovations that Alex Piquero and David
Weisburd have admirably assembled in this Handbook. This allows someone seeking an
appropriate and innovative method for collecting some new data or for analyzing a particular
set of data to explore a wide variety of approaches that have already been used, and hopefully
to build on them in new ways that will provide an additional chapter for a future edition of the
Handbook. | en_US |
| dc.description.abstract | Quantitative criminology has certainly come a long way since I was first introduced to a
largely qualitative criminology some 40 years ago, when I was recruited to lead a task
force on science and technology for the President’s Commission on Law Enforcement and
Administration of Justice. At that time, criminology was a very limited activity, depending
almost exclusively on the Uniform Crime Reports (UCR) initiated by the FBI in 1929 for
measurement of crime based on victim reports to the police and on police arrests. A typi-
cal mode of analysis was simple bivariate correlation. Marvin Wolfgang and colleagues were
making an important advance by tracking longitudinal data on arrests in Philadelphia, an inno-
vation that was widely appreciated. And the field was very small: I remember attending my
first meeting of the American Society of Criminology in about 1968 in an anteroom at New
York University; there were about 25–30 people in attendance, mostly sociologists with a
few lawyers thrown in. That Society today has over 3,000 members, mostly now drawn from
criminology which has established its own clear identity, but augmented by a wide variety of
disciplines that include statisticians, economists, demographers, and even a few engineers. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Criminology | en_US |
| dc.subject | Quantitative Criminology | en_US |
| dc.title | Handbook of Quantitative Criminology | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | ARTS & SCIENCE
|