Causal Impact Analysis

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Displaying 431 - 440 of 1084

Implementation and outcome evaluation of the Intensive Aftercare Program: Final report (Wiebush et al. 2005)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to measure the impact of participation in an Intensive Aftercare Program (IAP) for high-risk youth from juvenile justice facility placements on recidivism. The authors…
Juvenile drug court: Enhancing outcomes by integrating evidence-based treatments (Henggeler et al. 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the marginal impacts of three layered treatments—drug court hearings, substance abuse therapy, and contingency management counseling—on criminal justice outcomes…
The effects of an experimental intensive juvenile probation program on self-reported delinquency and drug use (Lane et al. 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the South Oxnard Challenge Project (SOCP), an alternative juvenile probation program, on delinquency and drug use. The study was a randomized…
Measuring recidivism in a juvenile drug court: Systematic outcome study of a juvenile drug court using historical information (Pitts 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to evaluate the effect of participating in a juvenile drug court in Farmington, New Mexico, on recidivism. The author used historical data from official court records to…
Becoming adults: One year impact findings from the youth villages’ Transitional Living evaluation (Valentine et al. 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Transitional Living program on education, earnings, and recidivism outcomes. The authors used a randomized controlled trial and estimated…
The impact of reentry services on juvenile offenders’ recidivism (Bouffard & Bergseth 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of structured after-care and reentry services for justice-involved youth on their recidivism rates. The study used a nonexperimental design to compare youth who…
Reentry services: An evaluation of a pilot project in Clay County, MN (Bergseth & McDonald 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Reentry Services Project (RSP) on juvenile recidivism. The authors estimated regression models comparing the number of criminal and official…
Evaluation of the Boys & Girls Clubs of America Targeted Re-Entry Initiative (Barton et al. 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Boys & Girls Clubs of America’s Targeted Re-Entry Initiative on youth’s recidivism. The authors used administrative data to match…
Testing rapid connections to subsidized private sector jobs for low-income individuals in San Francisco: Implementation and early impacts of the STEP Forward program (Walter 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of STEP Forward on employment, earnings, and education outcomes. The authors used a randomized controlled trial to estimate impacts of enrollment in…
Does federally-funded job training work? Nonexperimental estimates of WIA training impacts using longitudinal data on workers and firms (Andersson et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) adult program’s training services on the employment and earnings of low-income adults. The authors investigated…

CLEAR Icon Key

Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.

High Causal Evidence

Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence

Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence

Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis

Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis

Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis

Examines the implementation of a program, policy, or intervention.
Favorable

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed

The study found some favorable and some unfavorable impacts in the outcome domain.
None

The study found no statistically significant impacts in the outcome domain.
Unfavorable

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable

Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence

The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence

The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.