RT Article
T1 Analyzing variation in prior record penalties across conviction offenses
JF Crime & delinquency
VO 64
IS 7
SP 831
OP 855
A1 Cassidy, Michael
A2 Rydberg, Jason
LA English
YR 2018
UL https://krimdok.uni-tuebingen.de/Record/1578213185
AB The focal concerns perspective suggests that criminal history and the nature of the offense interact to influence judicial assessments of community threat, yet this question has not been subject to systematic empirical examination. Drawing on 4 years of data (2007-2010) from the Pennsylvania Commission on Sentencing (N = 75,676), we utilize linear quantile mixed models (LQMM) to examine the impact of prior record on the conditional distribution of sentence lengths across violent, property, drug, and sex offenders, controlling for the effects of important individual and judicial district-level covariates. The results indicate that prior record penalties differ both between and within conviction offense types across the conditional sentence length distribution. Substantive, theoretical, and methodological implications are discussed.
K1 Sentencing guidelines
K1 Criminal history
K1 Offense type
K1 Quantile regression,
K1 Linear mixed models
DO 10.1177/0011128717693215