Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 651 - 660 of 794
Study Type: Implementation Analysis
The Center for Employment Training (CET) was shown by rigorous research conducted in the 1980s to increase the earnings and employment prospects of disadvantaged youth. The U.S. Department of Labor…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
This report presents preliminary findings for the impacts of the Year Up program, which provides technical skills training and internships to low-income adults ages 18 to 24. The authors randomly…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Youth Corps, a diverse set of programs that offer educational services, employment and training, and community service activities to young adults.…Study Type: Implementation Analysis
Funded by the American Recovery and Reinvestment Act of 2009, the Summer Youth Employment Initiative (SYEI) aimed to reverse the steep decline in youth employment during the recession by providing…Study Type: Descriptive Analysis
Using personal stories of youth who participated in the Area IV Kansas Summer Youth Employment Program (SYEP), the author sought to describe the ecosystems of urban youth, their relationships with…Study Type: Descriptive Analysis
This study examined emerging practices used by Youth Corps sites to enhance their participants’ educational and employment opportunities. Youth Corps is a program that engages youth ages 16 to 25 in…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…Study Type: Implementation Analysis
The research examines the implementation of the Summer Youth Employment Initiative (SYEI). Funded by the American Recovery and Reinvestment Act of 2009, SYEI aimed to reverse the steep decline in…Study Type: Causal Impact Analysis
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…
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.