Causal effect modeling with naturalistic rather than experimental data is challenging. In observational studies participants in different treatment conditions may also differ on pretreatment… (More)
This study examined 2 process variables, emotional engagement and habituation, and outcome of exposure therapy for posttraumatic stress disorder. Thirty-seven female assault victims received… (More)
AIMS
Strong associations between marijuana use and initiation of hard drugs are cited in support of the claim that marijuana use per se increases youths' risk of initiating hard drugs (the 'marijuana… (More)
Most smokers do not plan to quit in the next 6 months. The authors previously demonstrated that percentile schedules shape lower breath carbon monoxide (BCO) levels in smokers trying to quit (R. J.… (More)
As drug treatment courts have multiplied over the past decade, so too have research evaluations conducted on their implementation and effectiveness. This article explores the decade of drug treatment… (More)
The Toolkit for Weighting and Analysis of Nonequivalent Groups, twang, contains a set of functions and procedures to support causal modeling of observational data through the estimation and… (More)
This study examines the effectiveness of using vouchers to reinforce either the provision of urine samples testing negative for illicit drugs (UA group) or the completion of objective, individually… (More)
Over the past two decades, studies have provided evidence for the strong link between substance use (SU) and delinquency among adolescents. However, the dynamics of this relationship and its temporal… (More)
Contingency management interventions effectively reduce or eliminate some individuals' problem substance use. Typically, those who do not benefit never experience the reward or planned contingency… (More)
AIMS
To predict DUI recidivism using personality, attitudinal, and behavioral factors.
DESIGN
We conducted cross-sectional analyses of survey data. Covariance structure modeling was used to… (More)