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
This report presents results from a 9-month follow-up study of the National Guard Youth ChalleNGe program, a disciplinary and educational intervention for unemployed youth ages 16 to 18 who are not…Study Type: Causal Impact Analysis
The evaluation’s objective was to examine the effects of the Summer Career Exploration Program (SCEP) on short-term earnings, employment, and other outcomes. SCEP offers youth job-related counseling…Study Type: Causal Impact Analysis
The National Job Corps Study included several reports, including this final 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
The study’s objective was to examine the effect of the Year Up program on employment, earnings, and education outcomes. Year Up is an intensive, yearlong program that provides training and…Study Type: Causal Impact Analysis
The study examined the impact of the Serious and Violent Offender Reentry Initiative (SVORI) on employment, education, and recidivism among juvenile incarcerated males. The study used propensity…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: 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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the 1972 Equal Employment Opportunity Act (EEOA) on employment, earnings, and occupational outcomes of African American men. The study used a non-…
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.