Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of conditional cash transfers (CCT) and unconditional cash transfers (UCT) on child labor and schooling outcomes. This summary focuses on the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Programa de Erradicacao do Trabalho Infantil (PETI) or Program to Eradicate Child Labor on child labor and hours in school. The authors used an…Study Type: Causal Impact Analysis
The purpose of the study was to examine the impact of the Brazilian conditional cash transfer program, Bolsa Familia, on child labor and school enrollment. The authors used a nonexperimental design…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Single Parent and Displaced Homemaker Program on education outcomes by students at an urban community college. The study used a nonexperimental…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 study aimed to examine the effect of attending a Career Academy on students’ secondary and post-secondary academic outcomes. The authors compared the outcomes of students who had attended a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mississippi River Transportation, Distribution and Logistics (MRTDL) Consortium’s grant-funded programs on education outcomes. This summary…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the 2008 GI Bill on post-9/11 veterans’ employment and educational attainment. The study used a statistical model to compare outcomes between…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the University of the District of Columbia Community College (UDC-CC) grant-funded healthcare and hospitality programs on education, earnings, and…
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.