The authors report the results of latent class analyses and latent class transition analyses of antisocial behavior risk factors among 137 youths participating in a juvenile diversion program. The study examined the youths’ latent classifications using baseline and 1-year follow-up measures of family, peer, education, and mental health risk factors. Latent class transition analyses were conducted to determine the stability and change of latent class membership across two time points. For both baseline and follow-up measures, latent class analyses suggested that two latent classes were most appropriate for characterizing the youths using the four domains of risk factors. One class reflected youths reporting few problems in any risk area; the...
Most multi‑problem young adults (18–27 years old) have been exposed to childhood maltreatment and/or...
In this study, we aimed to characterize developmental patterns of poly-victimization in a normative ...
This study used latent class analysis to examine subpopulation membership based on self-reports of d...
The authors report the results of latent class analyses and latent class transition analyses of anti...
Reflective of interest in mental health and substance abuse issues among youths involved with the ju...
Baseline data collected in two brief intervention projects (BI-Court and Truancy Project) were used ...
Numerous literatures have stressed that detection of risk behaviors can assist a person towards redu...
Although juveniles are known to experience relatively high levels of violence and abuse, study of th...
The current research focuses on the risk factors for bully profiles, antisocial behavior across prof...
This study used latent class regression to identify latent trajectory classes based on individuals\u...
Latent class analysis was conducted on the psychosocial problems experienced by truant youths. Data ...
Data collected as part of the Projects on Human Development in Chicago Neighborhoods (PHDCN) were us...
Data collected as part of the Projects on Human Development in Chicago Neighborhoods (PHDCN) were us...
Dual-factor models of mental health are increasingly supported but little is known about longitudina...
Abstract Background The exposure to an accumulation of various risk factors during childhood and ado...
Most multi‑problem young adults (18–27 years old) have been exposed to childhood maltreatment and/or...
In this study, we aimed to characterize developmental patterns of poly-victimization in a normative ...
This study used latent class analysis to examine subpopulation membership based on self-reports of d...
The authors report the results of latent class analyses and latent class transition analyses of anti...
Reflective of interest in mental health and substance abuse issues among youths involved with the ju...
Baseline data collected in two brief intervention projects (BI-Court and Truancy Project) were used ...
Numerous literatures have stressed that detection of risk behaviors can assist a person towards redu...
Although juveniles are known to experience relatively high levels of violence and abuse, study of th...
The current research focuses on the risk factors for bully profiles, antisocial behavior across prof...
This study used latent class regression to identify latent trajectory classes based on individuals\u...
Latent class analysis was conducted on the psychosocial problems experienced by truant youths. Data ...
Data collected as part of the Projects on Human Development in Chicago Neighborhoods (PHDCN) were us...
Data collected as part of the Projects on Human Development in Chicago Neighborhoods (PHDCN) were us...
Dual-factor models of mental health are increasingly supported but little is known about longitudina...
Abstract Background The exposure to an accumulation of various risk factors during childhood and ado...
Most multi‑problem young adults (18–27 years old) have been exposed to childhood maltreatment and/or...
In this study, we aimed to characterize developmental patterns of poly-victimization in a normative ...
This study used latent class analysis to examine subpopulation membership based on self-reports of d...