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Multilevel Analysis in the Study of Crime and Justice

  • Brian D. Johnson
Chapter

Abstract

The study of crime and justice often involves the nesting of individual observations within larger social contexts of interest – juveniles are nested within schools, offenders within neighborhoods, police within precincts, judges within courts, inmates within prisons and so on. In these and related instances, multilevel models provide a useful extension of ordinary regression models that allow for the simultaneous inclusion of data across multiple units of analysis. This chapter provides a general introduction to the use of multilevel models, discussing the different forms they take and illustrating their basic application through the example of convicted offenders sentenced within federal district court contexts. The chapter concludes with a introduction and overview of some common difficulties and more complex modeling issues that sometimes arise in multilevel analysis.

Keywords

Multilevel Model Multilevel Analysis Federal District Random Coefficient Ordinary Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

The author would like to thank and acknowledge the very valuable comments provided by D. Wayne Osgood on an earlier draft of this chapter.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Brian D. Johnson
    • 1
  1. 1.Criminology and Criminal Justice, University of MarylandCollege ParkUSA

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