Citation

Lahm KF. Int. J. Offender Ther. Comp. Criminol. 2009; 53(3): 348-365.

Copyright

(Copyright © 2009, SAGE Publishing)

DOI

10.1177/0306624X08316504

PMID

unavailable

Abstract

The majority of the extant literature on inmate victimization considers only one level of analysis, thus ignoring the interaction effects between inmate- and prison-level variables. To extend this literature, multilevel modeling techniques were used to analyze self-report data from more than 1,000 inmates and 30 prisons in Kentucky, Tennessee, and Ohio. Results revealed that demographic variables were strong predictors of physical victimization (i.e., race and assaultive behavior). Also, security level had a contextual direct effect on physical victimization. Property victimization was best explained with an integrated model including inmate (i.e., race, assaultive behavior, prior education, prior employment, and time served), contextual (i.e., security level and proportion non-White), and micro—macro interaction variables (i.e., Race × Security Level). Policy implications and suggestions for future research are discussed.