Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 411 - 420 of 511
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mathematics Access Performance Scholarship (MAPS) on completion of developmental and college-level math, credits attempted and earned, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of accelerated developmental writing and math sequences on enrollment, persistence, and academic achievement outcomes at six City University of New…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of LaGuardia Community College’s general educational development (GED) Bridge to Health and Business program on GED completion, college enrollment,…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
This study’s objective was to examine the impact of the FastStart developmental math program on college persistence, credit accumulation, and course completion. This study used transcript data from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerated Study in Associate Programs (ASAP) conducted by the City University of New York (CUNY) on retention, credit accrual, transfer, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of developmental education learning communities at six community colleges across the United States on enrollment, credits attempted, and credits…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Opening Doors learning communities at Kingsborough Community College in New York on progress toward completing a degree and actual completion…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Community College of Baltimore County’s Accelerated Learning Program (ALP) on course progression, persistence, and completion outcomes. In…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of learning communities on college credits earned and the completion of a college degree at Hinds Community College in Raymond, Mississippi. The…
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.