Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 21 - 30 of 128
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Los Angeles Reconnections Career Academy (LARCA) on education, employment, earnings, and public benefits receipt outcomes. The study was a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Valley Initiative for Development and Advancement (VIDA) 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 Year Up on education and earnings outcomes. The authors investigated similar research questions for other programs, the profiles of which can be…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Integrated Basic Education and Skills Training Program (I-BEST) on education outcomes. The authors investigated similar research questions for…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Pathways to Healthcare (PTH) 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 Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The purpose of the study was to examine the impact of Combating Worst Forms of Child Labor by Reinforcing Policy Response and Promoting Sustainable Livelihoods and Educational Opportunities in Egypt…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of Malawai’s Labour Intensive Public Works program (LIPW) on children’s school participation and involvement in paid work and household chores. The…
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
