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
This study’s objective was to evaluate the effectiveness of learning communities as an alternative pedagogical format for students enrolled in developmental reading and English composition courses…Study Type: Causal Impact Analysis
This study’s objective was to examine the effects of Des Moines Area Community College’s Mandatory Placement Project on credit completion and fall-to-spring semester persistence. The intervention…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in one of three first-year academies (Allied Health, Business/Technology, or Liberal Arts) on course failure rates and course…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Integrated Studies Community (ISC) at Parkland College in Champaign, Illinois, on credit hours earned, course completion, and persistence…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which includes case management and mentoring, education, developmental activities, community service,…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which includes case management and mentoring, education, developmental activities, community service,…Study Type: Causal Impact Analysis
This report presents preliminary findings for the impacts of the Year Up program, which provides technical skills training and internships to low-income adults ages 18 to 24. The authors randomly…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 determine whether universities participating in Transformative Graduate Education Programs (TGPs) conferred a greater number of science, technology, engineering, and…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…
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.