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 147
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Year Up program on employment, earnings, education, and public benefits receipt outcomes. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of NAF on high school graduation rates. The study used a nonexperimental design to compare the outcomes of students who participated in NAF to a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Recovery After an Initial Schizophrenia Episode (RAISE) Connection Program on employment, education, and health outcomes. The study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Independent Living Services (ILS) on high school graduation, post-secondary educational attainment, and full-time employment. Using survey and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Health Profession Opportunity Grants (HPOG) on employment, education, earnings, and public benefit receipt three years after participants were…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Compensatory Cognitive Training (CCT) on attaining competitive employment, weeks worked, wages earned, mental illness symptom severity, and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Boston Summer Youth Employment Program (SYEP) on future work plans, academic aspirations, and job readiness skills. The study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Carreras en Salud (Carreras) on education outcomes. The authors investigated similar research questions for other programs, the profiles of which…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Bridge to Employment in the Healthcare Industry (BTH) on education outcomes. The authors investigated similar research questions for other…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Agricultural Extension Support Program (AEP) on child labor and schooling outcomes in rural Ethiopia. The study used a matched-comparison group…
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.
Domain
Effectiveness icon
