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 72
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of “stereotype threat priming” on students’ grades in postsecondary science, technology, engineering, and mathematics (STEM) courses and on self-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Orthotics, Prosthetics & Pedorthics (HOPE) careers consortium program on education outcomes. The authors used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Credentials, Acceleration and Support for Employment (CASE) program on education and employment outcomes. The authors used a nonexperimental…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Career and Technical Education (CTE) high schools on receipt of the Regents diploma. The study used a nonexperimental design to compare the…Study Type: Causal Impact Analysis
The purpose of the study was to assess the impact of Ethiopia’s Productive Safety Net Program (PSNP) on child labor and school attendance, along with the potential added benefit of participation in…Study Type: Causal Impact Analysis
The purpose of the study was to assess the impact of Ethiopia’s Productive Safety Net Program (PSNP) on child labor and school attendance, along with the potential added benefit of participation in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Supplemental Instruction in college science, technology, engineering, and mathematics (STEM) courses on the course grades earned at San Francisco…Study Type: Causal Impact Analysis
The purpose of the study was to assess the impact of the Kenya Cash Transfer for Orphans and Vulnerable Children Program on child labor and school participation. The study used a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the PluggedInVA (PIVA) program on education and employment outcomes. Using college administrative and state workforce data, the authors conducted a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of cooperative education on education, earnings, and employment outcomes. The study used a nonexperimental design to compare the outcomes of graduates…
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
