This report’s objective was to examine the effectiveness of the Youth Opportunity (YO) Grant Initiative, which sought to improve job prospects and education outcomes for youth in high-poverty areas…
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 259
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of supported employment on employment outcomes for youth with intellectual and developmental disabilities. The study used a nonexperimental design.…Study Type: Causal Impact Analysis
The study examined the impact of the SourceAmerica Pathways to Careers program on obtaining competitive integrated employment (CIE) for at least 90 days. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of State Vocational Rehabilitation Agency (SVRA) services on employment and public benefits receipt outcomes. The study used a nonexperimental design…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of internships and cooperative programs at community colleges on post-graduation wages. The study used a nonexperimental design to compare the…Study Type: Causal Impact Analysis
The study assessed the effectiveness of Worker Profiling and Reemployment Services (WPRS), a system for predicting which Unemployment Insurance (UI) recipients are at greatest risk of exhausting…Study Type: Causal Impact Analysis
The study examined the impact of Disability Compensation (DC) enrollment and benefit amount on labor force participation and earnings. The authors also examined the impact of the expansion of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of recovery housing on employment and earnings for individuals with opioid use disorders receiving Reinforcement Based Treatment (RBT). Using data…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California's Proposition 36-funded employment services on employment, earnings, public benefit receipt, and health and safety. Using outcome…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-based courses on employment and earnings. The study used a nonexperimental design to compare outcomes of students who enrolled in work-…
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.