RT Article
T1 Restrictive Housing Placement and Length of Stay: A Latent Class Analysis With Mixed Distributions
JF Criminal justice policy review
VO 34
IS 5
SP 462
OP 487
A1 Yan, Shi
A1 Zgoba, Kristen M.
A1 Pizarro, Jesenia M.
A2 Zgoba, Kristen M.
A2 Pizarro, Jesenia M.
LA English
YR 2023
UL https://krimdok.uni-tuebingen.de/Record/1859193234
AB On average, one in five incarcerated persons will spend some time in restrictive housing (RH) during their incarceration. Despite a growing body of research on the topic of RH, few have taken into account the heterogeneity of the incarcerated individuals’ pre-RH risk profiles. In the present study, we fill this gap by estimating a latent class analysis (LCA) model to explore the heterogeneity among a sample of incarcerated individuals in New Jersey. Our LCA has both dichotomous and count variables, and we specified a model with logit and Poisson functional forms. We then examine how the latent group membership predicted RH placement and length of stay using a hurdle model. We identified a four-group LCA model, and found that groups featuring misconduct records were more likely to experience RH and stay longer in RH. Prior criminal records were less predictive of these RH outcomes.
K1 Latent Class Analysis
K1 Typology
K1 Segregation
K1 Restrictive housing
DO 10.1177/08874034231184139