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Christopher T. Lowenkamp

Researcher at University of Missouri–Kansas City

Publications -  85
Citations -  4670

Christopher T. Lowenkamp is an academic researcher from University of Missouri–Kansas City. The author has contributed to research in topics: Recidivism & Risk assessment. The author has an hindex of 33, co-authored 83 publications receiving 4108 citations. Previous affiliations of Christopher T. Lowenkamp include University of Cincinnati & Government of the United States of America.

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Diminishing or durable treatment effects of STARR? A research note on 24-month re-arrest rates

TL;DR: In 2009, the Administrative Office of the US Courts developed and piloted a training program (STARR) for probation and pretrial officers to train officers in the use of core correctional practices in their one-on-one interactions with offenders as discussed by the authors.
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The Effect of Pretrial Detention on Sentencing in Two Federal Districts

TL;DR: The authors empirically examined the consequences of pretrial detention in the United States federal courts and found that revocation of granted pretrial supervision was associated with increased prison sentences; on the other hand, successfully completing a term of pre-trial services supervision is associated with shorter sentence length.
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Does Change in Risk Matter?: Examining Whether Changes in Offender Risk Characteristics Influence Recidivism Outcomes

TL;DR: In this paper, the authors explored how changes in offender risk influence the likelihood of recidivism by tracking a population of 64,716 offenders placed on federal supervision with multiple PCRA assessments.
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The Importance of Ecological Context for Correctional Rehabilitation Programs: Understanding the Micro- and Macro-Level Dimensions of Successful Offender Treatment

TL;DR: This article examined the impact of structural characteristics on both treatment program quality and effectiveness of halfway house programs in Ohio and found that ecological context influences the magnitude of program treatment effects largely indirectly though its influence on program quality.
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A Longitudinal Analysis of the Welfare-Homicide Relationship Testing Two (Nonreductionist) Macro-Level Theories

TL;DR: In this article, a bivariate auto-regressive integrated moving average analysis of the number of individuals receiving Aid to Families With Dependent Children (AFDC) benefits and total and disaggregated counts of homicide reveal no evidence of simultaneity bias.