Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 431 - 440 of 776
Study Type: Causal Impact Analysis
This study examines the effectiveness of a specific prison work program called Prison Industry Enhancement Certification Program (PIECP) on employment, earnings, and recidivism after release. The…Study Type: Causal Impact Analysis
The state of Massachusetts, as part of the Criminal Offender Record Information (CORI) Reform, implemented a policy change to reduce access to job applicants’ criminal histories. The study’s…Study Type: Causal Impact Analysis
The state of Massachusetts, as part of the Criminal Offender Record Information (CORI) Reform, implemented a policy change known as Ban the Box, which refers to a box job seekers would check to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Second Chance Act (SCA) Adult Demonstration Program on employment, earnings, and recidivism. The study was a randomized controlled trial…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the Treatment Alternatives for Safe Communities/Mental Illness Substance Abuse (TASC/MISA) program and a range of outcomes, including…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Individual Placement and Support (IPS) intervention on employment and recidivism outcomes relative to a job club program called Work Choice.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a violent prisoner reentry program, the Serious and Violent Offender Reentry Initiative (SVORI), on several outcomes of female prisoners reentering…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Substance Use Treatment and Reentry (STAR) program on post-release employment and recidivism outcomes for justice-involved young adults in…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of California’s Proposition 36 employment services on employment, earnings, receipt of public benefits, and recidivism. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of job placement through the Hoosier Initiative for Reentry Employment (HIRE) program on recidivism among people released from Indiana prisons in 2014…
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.