Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 81 - 90 of 487
Study Type: Causal Impact Analysis
This paper evaluated the effects of the Computer Science, Engineering, and Mathematics Scholarship (CSEMS) program at Wright State University (WSU) on educational outcomes. The study used academic…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of contextualized teaching and learning (CTL) on education outcomes. Using institutional data, the author conducted a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Mechatronics Re-envisioned (MRE) program on education outcomes. Using college administrative data, the authors conducted a nonexperimental study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Junior Apprenticeship Advantage (JAA) on education outcomes.The study used a nonexperimental design to compare the outcomes of individuals who…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Wisconsin Youth Apprenticeship program on education outcomes. The study used a nonexperimental design to compare the outcomes of students…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 One Summer Plus, a summer jobs program for high school-age students, on educational and criminal justice outcomes. Students from 13 high schools…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Arizona Sun Corridor Get Into Energy Consortium (ASC-GIEC) program on student education outcomes. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Youth Opportunity (YO) Grant Initiative, which sought to improve job prospects and education outcomes for youth in high-poverty areas…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Urban Alliance High School Internship Program on employment, earnings, and education outcomes. The study used a randomized controlled…
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.