Brings together in one source information on the criminal justice system and the criminal justice research and analysis activities of each State. Covers: state justice system overview; law enforcement; prosecution and defense; victims' rights and assistance; adjudication; corrections; statutory provisions and more. Also includes a state-by-state discussion of the missions and goals of the State Statistical Analysis Centers, and a state-by-state directory of criminal justice issues and research in the States. Comprehensive!

National Criminal Jusitce 208756. Bureau of Justice Statistics Sourcebook of Criminal Justice Statistics, 2003. 31th annual edition. Edited by Kathleen Maguire and Ann L. Pastore, et al. Brings together in a single volume nationwide data of interest to the criminal justice community. Compiles information from a variety of sources and makes it accessible to a wide audience.

Revised editon of: Juvenile justice sourcebook: past, present, and future / [edited by] Albert R. Roberts.

This annual Sourcebook brings together data of interest to the criminal justice community. A compilation of information from a variety of sources. The book has six sections: 1. Characteristics of the Criminal Justice System, 2. Public Attitude Toward Crime & Criminal Justice-related Topics, 3. Nature & Distribution of Known Offenses, 4. Characteristics & Distribution of Persons Arrested, 5. Judicial Processing of Defendants, 6. Persons Under Correctional Supervision. Over 400 charts & Tables.

A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic—such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis—will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.