Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 71 - 80 of 487
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Connections to Employment (ACE) program on education, earnings, and employment outcomes. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the PluggedIn and WorkREADY! advanced manufacturing training program on education, employment, and earnings outcomes. The study used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2012 eight-week intervention. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Montana’s RevUp program on education outcomes. The authors used a nonexperimental design to compare education outcomes of RevUp participants to a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program on community college students’ success and progress. The…Study Type: Causal Impact Analysis
The study aimed to examine the academic and labor market outcomes of students who were enrolled in a Career Academy track in a large, West Coast, urban high school district, compared with peers…Study Type: Causal Impact Analysis
The purpose of the study was to examine the impact of unconditional cash transfers on child labor, within the Bono de Desarrollo Humano (BDH) program. The study was a randomized controlled trial,…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Malawi Social Cash Transfer Scheme (SCTS) on household work activities, including child labor. The study used household survey data from a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Linking Innovation, Knowledge, and Employment (@LIKE) program on employment and education outcomes.The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Red de Oportunidades (RdO), a conditional cash transfer program in Panama, on child labor and school enrollment. The authors used cross-sectional…
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.