Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 91 - 100 of 107
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Joint/Dual (JD) program on retention and graduation rates for community college and undergraduate engineering students who were under-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Engineering Admissions Partnership Program (E-APP) on retention rates of community college students who transferred to Iowa State University (…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of basic skills curricular learning communities on the persistence of underprepared community college students at 13 community colleges in eight…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 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
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
The study’s objective was to assess the long-term impact of Camp Reach, a summer engineering enrichment program for middle school girls, on enrollment in STEM courses in high school and college.…
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
