A Bayesian Analysis of a Cognitive-Behavioral Therapy Intervention for High-Risk People on Probation

This analysis employs a Bayesian framework to estimate the impact of a Cognitive-Behavioral Therapy (CBT) intervention on the recidivism of high-risk people under community supervision. The study relies on the reanalysis of experimental datal using a Bayesian logistic regression model. In doing so,...

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Veröffentlicht in:	Evaluation review 2024-12, Vol.48 (6), p.991-1023
Hauptverfasser:	Han, SeungHoon, Hyatt, Jordan M., Barnes, Geoffrey C., Sherman, Lawrence W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Age Factors Analysis Bayes Theorem Bayesian analysis Bayesian Statistics Behavior modification Cognitive behavioral therapy Cognitive Behavioral Therapy - methods Cognitive-behavioral factors Community Crime - prevention & control Drug crimes Female High risk Humans Intervention Male Middle Aged Monte Carlo Method Monte Carlo simulation Null hypothesis Offenses Older people Probability Probation service Property Recidivism Recidivism - prevention & control Supervision Young Adult
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