Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of the YO! Baltimore initiative, which included a diverse set of programs offering comprehensive educational, employment preparation, support, and…Study Type: Implementation Analysis
This report summarized the results of the final round of the process evaluation of the Youth Opportunity (YO) grant initiative. The YO program offered educational, employment, leadership enhancement…Study Type: Causal Impact Analysis
The National Job Corps Study included several reports, including this longer-term impact report. The report’s objective was to examine the impact of the Job Corps program on participants’ long-term…Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers help design training programs and provide them in a work…National Job Corps Study: Findings using administrative earnings records data (Schochet et al. 2003)
Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact on long-term earnings and employment of the Job Corps program, which offers intensive academic classroom instruction and vocational skills training…Study Type: Implementation Analysis
This report presents an implementation analysis of the Youthbuild program. The program provided hands-on construction training, educational experiences, leadership training, and counseling and other…Study Type: Descriptive Analysis
This report provides a high-level summary of a study on Youth Corps programs, which have engaged disadvantaged youth in community service projects since 1933. An in-depth impact analysis is…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impacts of eight Conservation and Youth Service Corps programs that sought to improve educational and employment outcomes for out-of-school youth ages 18 to…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of affirmative action requirements for federal contractors through Executive Order 11246 on African American employment shares at the establishment…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of affirmative action requirements for federal contractors on the occupational employment shares of minorities and women at federal contractors and…
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.