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 642
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…Study Type: Implementation Analysis
This report presents a process study of the national Job Corps program. Initiated in 1964, Job Corps provides comprehensive education and employment skills training to disadvantaged youth ages 16 to…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
This study examined the impact of About Face (AF) vocational classes on competitive employment. In this nonexperimental study, the authors used statistical analyses to compare the employment…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of state disability laws—those related to antidiscrimination and reasonable accommodation for employees with disabilities—on commercial banks’ number…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 effects of an employment intervention tailored for drug-involved offenders on employment and earnings outcomes. The study was a randomized controlled…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Urban Alliance High School Internship Program on education, employment, and earnings. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes. This profile focuses on the comparison between the Nevada…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Growing America Through Entrepreneurship (GATE) on earnings and employment. This profile focuses on the study at the Maine site. The authors…
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.