Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 97
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in Maine’s adult drug treatment court programs on recidivism. The authors compared the recidivism rates of drug treatment court…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a juvenile treatment court in Anne Arundel County, Maryland, on recidivism. The authors used a nonexperimental design, matching youth who…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of taking community college courses on the earnings of displaced workers in Washington State. The authors matched data from unemployment insurance…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of earning community college degrees, diplomas, and certificates on students’ later earnings. Using administrative data from the Kentucky Community…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a learning community consisting of linked courses (a developmental math course and a student success course) on students’ retention and persistence…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of coordinated studies programs (CSPs) on students’ persistence in college. The authors used administrative data to compare reenrollment rates between…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the FIRST Robotics Competition (FRC) on participants’ education and career outcomes. The FRC was a six-week competition in which teams of high…
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.